Everything
h2o.ai
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67,007 words total. No editorial layer. No inference.
Law III — the text is the measurement. Meaning is the reader's.
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◈ Homepage — http://www.h2o.ai/SOLUTIONS
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h2oGPTe
A secure, enterprise platform that converges generative and predictive AI—purpose-built for SLMs and LLMs.
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Accelerate model development with automatic feature engineering and explainability.
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tabH2O
TabH2O is a foundation model for tabular data. Send a CSV, get predictions back. No model training, no infrastructure, no data stored.
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Enterprise LLM Studio
Distill and Fine-Tune SLMs on Your Private Data.
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h2oGPTe
A secure, enterprise platform that converges generative and predictive AI—purpose-built for SLMs and LLMs.
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H2O Driverless AI
Accelerate model development with automatic feature engineering and explainability.
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tabH2O
TabH2O is a foundation model for tabular data. Send a CSV, get predictions back. No model training, no infrastructure, no data stored.
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Enterprise LLM Studio
Distill and Fine-Tune SLMs on Your Private Data.
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h2oGPTe
A secure, enterprise platform that converges generative and predictive AI—purpose-built for SLMs and LLMs.
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H2O Driverless AI
Accelerate model development with automatic feature engineering and explainability.
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We trained 900 of our analysts to use H2O.ai. Every decision we make for our customers—and we make millions every day—we’re making those decisions 100% better using H2O.ai -
Andrew McMullan, Former Chief Data & Analytics Officer, Commonwealth Bank of Australia
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AT&T + h2oGPTe transform call center operations, return 2X ROI in free cash flow
Last year, we returned 2X ROI in free cash flow on every dollar we spent on generative AI. That’s a one-year return. - Andy Markus, CDO, AT&T.
H2O.ai continues to innovate and define what’s next in AI. With their partnership, we’re moving faster, delivering more value, and co-creating new AI products.
Andy Markus, CDO, AT&T
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NIH + h2oGPTe create 24/7 “business assistant” to support 8K federal employees
By deploying H2O.ai’s h2oGPTe inside our air‑gapped environment, we delivered a secure Generative AI assistant that surfaces precise policy and procurement answers in seconds—freeing our team to concentrate on mission‑critical improvements instead of repeating FAQs.”
Director ONBS, NIH
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◈ Interior Pages — 76 pages crawledH2O AI Cloud Demo Center X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O.ai Demo Center These self-service demo videos provide a summary of the key features and functions of H2O.ai’s AI Cloud platform. H2O.ai is an end-to-end AI platform to manage your entire AI lifecycle journey. Intro In this video, you will: Be introduced to the H2O AI Cloud and understand its wide range of user personas, deployment options and automatic services. See how to access the H2O AI Cloud App Store and launch instances of uploaded Wave applications. See how to use the H2O Command Line Interface (CLI) and access the platform using Python APIs. Natural Language Services In this video, you will: Be introduced to the Label Genie Wave application capable of using AI to help annotate images and text. See an example of using pre-trained "zero-shot" models to assign a positive or negative sentiment just by looking at input text examples. Be introduced to the AI Engine called Hydrogen Torch that can automatically train deep learning models for image, video, text and audio use cases. See how to use Hydrogen Torch to visualize and interact with your image, video, text or audio data. See how to build deep learning neural networks using existing state of the art architectures and use transfer learning to calibrate them to your data and use case without writing any code. See how to evaluate performance of Hydrogen Torch models across a spectrum of confidence levels and interpret the results using advanced NLP techniques. See how a custom Wave application can be built for speech recognition by seeing a demo of the VoxPad: Speech-To-Text Wave application. Computer Vision In this video, you will: Be introduced to the Label Genie Wave application capable of using AI to help annotate images and text. See how to use pre-trained models to predict labels for Object Detection, Classification, Regression and Named Entity Recognition use cases. Be introduced to the AI Engine called Hydrogen Torch that can automatically train deep learning models for image, video, text and audio use cases. Be able to build deep learning neural networks using existing state-of-the-art architectures and use transfer learning to calibrate them to your data and use case without writing any code. Be able to evaluate performance of Hydrogen Torch models across a spectrum of confidence levels and interpret the results using advanced Image techniques such as GradCam. See how a custom Wave application can be built for computer vision by seeing a demo of the Real-Time Video Scoring Wave application. Document AI or Intelligent Character Recognition In this video, you will: Be introduced to the AI Engine called Document AI that can combine Optical Character Recognition (OCR), Natural Language Processing (NLP) and Computer Vision models for Intelligent Character Recognition (ICR) and other document use cases. See how to use Document AI to apply both commonly used OCR techniques, as well as additional techniques that have been developed specifically for Document AI by several Kaggle Grandmaster data scientists. See how to create labels and annotate a Document Set. See how to train machine learning models to perform page classification and token classification on your labeled Document Set. See how to use a custom post-processor to extract exactly what is required from scoring a new Document. See how to leverage Kubernetes auto-scaling and other configurations to score large sets of documents in a parallel fashion using the H2O Bulk Scorer. AutoML In this video, you will: Be introduced to Enterprise Steam, an easy and fast way to manage AI Engines like Driverless AI and H2O-3 on Kubernetes. NOTE: Enterprise Steam has recently been replaced by the AI Engine Manager on H2O AI Cloud. Understand a few ways to load data into Driverless AI from various locations including external databases and H2O Drive. See how to quickly profile your data set's characteristics, both visually and in tabular form, as well as review data quality and completeness. See how to use the Predict Wizard to run guided experiments to solve the machine learning problem related to your use case. See how to visualize the complete machine learning pipeline from automatic feature engineering, to individual model structures, to ensembles of predictions from many models. See how to retrieve automatically generated documentation for all assumptions, insights, and results from an experiment. See how to interpret your machine learning pipeline using both global and local reason codes, and run an analysis looking to test for signs of bias in the model's performance. MLOps In this video, you will: See how to create a project in the AI Cloud and share it with your colleagues and collaborators. See how to access Machine Learning Operations (ML OPs) in the AI Cloud. See how to add your experiment to MLOps, register it to the Model Registry, and create a deployment of this model as a REST endpoint. See how to launch deployments that are advanced real-time models that return both predictions, as well as feature-specific Shapley values for both raw features and automatically engineered features identified by the AI Engine. See how to monitor your deployment in terms of number of predictions returned, the average latency, as well as drift metrics for each feature in the model. MLOps Advanced In this video, you will: Be introduced to the eScorer service available in the H2O AI Cloud. See how to deploy machine learning pipelines in advanced deployment patterns for batch s NIH Reduces IT Service Ticket Volume with Secure, Air-Gapped Generative AI | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X GOVERNMENT NIH Reduces IT Service Ticket Volume with Secure, Air-Gapped Generative AI Self-Serve AI Business Agent Assists 8,000 NIH Employees in Real-Time, Significantly Reducing IT Ticket Volume Request Demo H2O.ai h2oGPTe powers an intranet-native NIH Business Assistant that helps 8,000 users across 28 institutes quickly find answers—deflecting up to 10,000 annual service requests without exposing data outside the NIH network. Agency Profile The U.S. National Institutes of Health (NIH) manages hundreds of policies and business system guides that support finance, procurement, travel, budget and acquisitions across 28 institutes. The Challenge Support teams field a high volume of repetitive “how‑do‑I?” questions, yet staff and researchers struggle to locate answers scattered across hundreds of SharePoint documents. Search is slow, and keeping institutional knowledge current consumes valuable time. The Solution The Office of NIH Business Systems implemented a Business Assistant chatbot built on H2O.ai h2oGPTe : Deep document ingestion – Indexes every user guide, training deck and policy in SharePoint. Trustworthy responses – Summaries are returned with live hyperlinks to the original source. Context‑aware sessions – Remembers previous questions to personalize follow‑ups. User‑selected delivery – Answers can be concise bullet points or full narrative. Role‑based security – Honors SharePoint collections so users see only what they are permitted to view. Air‑gapped deployment – Runs inside an Oracle Cloud Isolated Region (OCIR) linked to NIH’s intranet so traffic never leaves the NIH network. Architecture at a Glance Business Assistant chatbot is embedded directly in the SharePoint intranet. A resource group hosts h2oGPTe; HTTP calls stay within the air‑gapped customer network. No external SaaS or public internet connectivity is required, meeting stringent federal security controls. Results 8,000 NIH users Self‑serve answers inside existing workflows 10,000 service requests/year Reducing load on human queues Time Savings Support teams focus on higher‑value tasks Grounded Generation Standardized responses, traceable to source docs The chatbot is live across all 28 NIH institutes and continues to expand as new documents and applications are added. By deploying H2O.ai’s h2oGPTe inside our air‑gapped environment, we delivered a secure Generative AI assistant that surfaces precise policy and procurement answers in seconds—freeing our team to concentrate on mission‑critical improvements instead of repeating FAQs. — Director ONBS, NIH Why It Matters for the Public Sector Meets federal security mandates with on‑prem, air‑gapped architecture—no data leaves agency control. Rapid time‑to‑value—built and integrated with existing SharePoint in weeks using H2O.ai’s out‑of‑the‑box retrieval‑augmented generation. Proves Generative AI at scale inside one of the world’s largest research agencies, providing a blueprint for other departments and agencies facing similar knowledge‑management challenges. Best-in-Class Agents For Sovereign AI REQUEST LIVE DEMO Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. University | H2O.ai X Return to page HOME COURSES LEARNING PATHS FAQ X Elevate your knowledge with H2O.ai University courses VIEW COURSES LEARN. PRACTICE. SCALE. What We Offer Training programs Master our leading AI tools with ease, crafting machine learning models in just a few clicks through friendly tutorials. Certifications Demonstrate your recently acquired expertise by achieving a quiz score of 70% or higher, and show that you are too, an H2O.ai maker. Curated AI Skill Tracks Demystifying LLMs Start Here Working with h2oGPTe in Enterprise Workflows Take Course Getting Started with H2O Generative AI Start Learning GenAI Tools & Workflows with H2O.ai Take Course Driverless AI Essentials: Data Prep to AutoML Starting Learning AI-Assisted Data Labeling with Label Genie Take Course No-Code Deep Learning with Hydrogen Torch Take Course Building AI Apps with H2O Wave Take Course AI Agents : Theory to Practice Start Here Build Practical AI Agents Take Course Enterprise AI value & full platform overview START HERE Core concepts of Large Language Models BEGIN LEARNING RAG, workflows, and enterprise AI agents GET STARTED Data prep to AutoML model deployment TAKE COURSE Deep learning and GPU-based modeling START BUILDING Data labeling for better model quality TAKE COURSE Build production-ready AI apps and demos START BUILDING Become a Certified H2O.ai Presales Engineer TAKE QUIZ Generative AI Predictive AI Agentic AI H2O.ai for Partners VALIDATE PRACTICAL AI SKILLS Level up with H2O Certification Companies need skilled professionals who can prove they can effectively use and implement AI tools to get value from their data. Discover our range of AI services and products, and validate your newfound expertise by successfully completing our certifications. With a 70% score or above, you too can stand out in your field as a proficient AI practitioner. Featured courses The AI Lifecycle with the H2O.ai Platform: From Data to Production Intermediate View Course SHARE H2O.ai Agents : Theory to Practice Duration: 1h 9m Intermediate View Course SHARE An In-depth Exploration of h2oGPTe Duration: 1h 45m Intermediate View Course SHARE VIEW ALL COURSES Learn Hands On Follow structured learning paths designed to build real, production-ready AI skills. Learn at your own pace, practice on real environments, and validate your knowledge through certification. EXPLORE LEARNING PATHS Copyright © 2026 H2O.ai. All rights reserved. COOKIE PREFERENCES | PRIVACY POLICY | TERMS OF USE COURSES | LEARNING PATHS | FAQ | DOCUMENTATION Why GenAI With H2O.ai? X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Why H2O.ai On-premise, airgapped and cloud VPC Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for air-gapped, on-premises or cloud VPC deployments. Own your data, own your prompts. JSON Multimodal Code Assistant Agentic AI Citation RAG Guardrails Model Routing MRM Document AI with multimodal guided JSON generation Multimodal audio & vision analysis Coding assistant. Rapid prototyping & development. Autonomous agentic AI: execute multi-step workflows autonomously Citation-based verification for transparent Retrieval Augmented Generation (RAG) Customizable guardrails for AI safety Intelligent model routing: optimal model selection for every task Model risk management for enhanced compliance and interpretability Companies powered by H2O.ai Use Cases and Industries $1B saved in FRAUD for LARGE TELCO $400M Quarter for LARGE AUDIT FIRM $30M in QUARTER PAYMENT p rocessing for LARGE INSURER $2.5B annualized value to AT&T and our customers in telecom ANDY MARKUS, CHIEF DATA OFFICER, AT&T Cost Control For genAI products, H2O offers a highly cost-efficient solution. Customers enjoy unlimited text generation at a fixed cost, offering an economical alternative that is up to 10 times more cost-effective than pay-by-usage models. Custom AI Apps Create custom AI apps quickly and easily with our low-code Python-based stack. Auto-generated code gets you started fast, and lets you tailor the app to your specific needs. Predictive meets GenAI H2O offers a unique blend of GenAI and automatic machine learning solutions, allowing customers to easily build and deploy use cases leveraging both capabilities through simple API calls. Kaggle Grandmasters H2O.ai is home to 20+ Kaggle Grandmasters with 10+ years of experience serving hundreds of Fortune 2000 companies. KGM's under H2O.ai KGM's under the #2 company Customer and community love 222 Fortune 500 8 Top 10 banks 20K Organizations 2M Data Scientists Visionary in Gartner’s Magic Quadrant: Data Science and Machine Learning 2024 Listed in Gartner Magic Quadrant (Cloud AI Developer Services) in 2020, 2021, 2022, 2023, and 2024 Listed in Gartner Magic Quadrant (Data Science and Machine Learning) in 2018, 2019, 2020, 2021, 2023, and 2024 Get the Report The Forrester Wave™: Computer Vision Tools, Q1 2024: Named as a leader in this year's Forrester’s Wave report for the Computer Vision Tools Landscape Get the Report Ready to become an AI company? Take the first steps in your transformation. Try it Free Get in Touch Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. H2O LLM Studio | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O LLM Studio Create your own large language models, build enterprise-grade GenAI solutions H2O LLM Studio was created by our top Kaggle Grandmasters and provides organizations with a no-code fine-tuning framework to make their own custom state-of-the-art LLMs for enterprise applications. ACCESS ON GITHUB Data stages for H2O-Danube3-4B. The model is trained over three different stages with different data mixes. The first data stage consist of 90.6% of web data which is gradually decreasing to 81.7% at the second stage, and to 51.6% at the third stage. The first two stages include the majority of the tokens: 4.6T and 1.35T tokens respectively, while the third stage comprises of 0.05T tokens. Train SLM foundation models Deepspeed distributed training on GPU clusters SLMs are cheaper to train and operate than LLMs (fewer GPUs) SLMs are faster than LLMs (more tokens/sec, lower latency) SLMs are more customizable than LLMs (faster to fine-tune) ACCESS ON GITHUB Fine-tune state of the art large language models using LLM Studio, a no-code GUI framework ACCESS ON GITHUB Fine-tune SLMs for NLP use cases Distill LLMs into SLMs (with H2O LLM Data Studio ) Instruction/chat fine-tuned custom GPTs for mobile and offline applications Causal Classification and Regression fine-tuned SLMs for conversational use cases DPO/IPO/KTO optimization and alignment Fine-tuned SLMs can be more accurate than LLMs for specific use cases Lower TCO with fine-tuned SLMs compared to using large general-purpose LLMs Best-in-Class Agents For Sovereign AI REQUEST LIVE DEMO Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. H2O AI Top 100 Winners X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X THE TOP AI LEADERS DRIVING REAL-WORLD IMPACT Foreword Featured Winners AI Top 100 Judges Get the Report Foreword When we launched the H2O AI 100 in 2024, our goal was simple: recognize the people turning AI from promise into progress. In 2025, that progress looks different. Fewer proofs-of-concept. More production systems. Fewer flashy demos. More measurable ROI. This year’s winners are the builders behind that shift: the executives modernizing core systems, the researchers setting new guardrails, and the operators scaling agentic and generative AI into secure, governed, enterprise-grade deployments. They’re doing the hard work—across banks, telcos, healthcare, government, manufacturing, and tech platforms—to make AI trustworthy, resilient, and useful at scale. We hope this report gives you a clear view of where AI is actually working, and who is making it work. —The H2O.ai Team Featured Winners ENTERPRISE | FOUNDERS | PUBLIC SECTOR | AI FOR GOOD / RESEARCH ENTERPRISE John Roese ORGANIZATION: Dell TITLE: Global CTO and Chief AI Officer Nitzan Mekel-Bobrov ORGANIZATION: eBay TITLE: Chief AI Officer Marisa Reghini ORGANIZATION: Banco do Brasil TITLE: VP, Digital Business & Technology Nur Aitzhan ORGANIZATION: Al Futtaim TITLE: CDO Annie Yan ORGANIZATION: TD Bank TITLE: VP, Protect Product Gavin Munroe ORGANIZATION: CBA TITLE: Group Chief Information Officer Justin Boitano ORGANIZATION: NVIDIA TITLE: VP, Enterprise AI Tian Beng Ng ORGANIZATION: Certis TITLE: President & Group CEO FOUNDERS Alex Karp ORGANIZATION: Palantir TITLE: CEO May Habib ORGANIZATION: Writer AI TITLE: CEO Liang Wenfeng ORGANIZATION: DeepSeek TITLE: Founder and CEO Mira Murati ORGANIZATION: Thinking Machines Lab TITLE: Founder & CEO PUBLIC SECTOR Tharman Shanmugaratnam ORGANIZATION: Singapore, President TITLE: President of Singapore H.E. Ahmed Tamim Al Kuttab ORGANIZATION: DGE TITLE: Chairman Meixi Ong ORGANIZATION: DIS TITLE: Deputy Director (AI Lab) David Palmer ORGANIZATION: Federal Reserve Board TITLE: Sr. Supervisory Financial Analyst AI FOR GOOD / RESEARCH Sue Keay ORGANIZATION: UNSW TITLE: Director AI Institute Kay Firth-Butterfield ORGANIZATION: Good Tech Advisory TITLE: CEO Trevor Hastie ORGANIZATION: Stanford University TITLE: Professor Marta Yebra ORGANIZATION: ANU Fenner School of Environment & Society, School of Engineering TITLE: Professor Our Top 100 Name Title Organization Category LinkedIn Abhay Dabholkar AVP AI/ML Strategy & Implementation AT&T Innovators - Enterprise https://www.linkedin.com/in/abhay-dabholkar-57654113/ Alex Burton General Manager - Technology Lead Advanced Analytics Platform CBA Innovators - Financial Services https://www.linkedin.com/in/alexburton/ Alex Karp CEO Palantir Innovators - Enterprise https://www.linkedin.com/in/alexanderkarp/ Alexi Robichaux CEO BetterUp Founders https://www.linkedin.com/in/alexirobichaux/ Allie Miller CEO Open Machine Founders https://www.linkedin.com/in/alliekmiller/ Alvin Eng Head, Enterprise AI, Innovation Group UOB Innovators - Financial Services https://www.linkedin.com/in/alvin-eng-967a101/ Andrew Feldman Founder and CEO Cerebras Founders https://www.linkedin.com/in/andrewdfeldman/ Annie Yan VP, Protect Product TD Bank Innovators - Financial Services https://www.linkedin.com/in/annie-yan-23b6b021/ Archika Dogra Associate Product Manager Databricks AI for Good / Research https://www.linkedin.com/in/archikadogra/ Ash Gupta Ex- President Global Risk and Information Management American Express Innovators - Financial Services https://www.linkedin.com/in/ashgupta2/ Bhagyesh Phanse SVP, Chief Data & Analytics Officer Starbucks Innovators - Enterprise https://www.linkedin.com/in/bhagyeshphanse/ Bharath Sudharsan Head of AI Amalgam Rx Innovators - Enterprise https://www.linkedin.com/in/bharath-sudharsan-7219b9a/ Chee Wee Ang Chief AI Officer HTX Public Sector https://www.linkedin.com/in/chee-wee-ang-8bb6705/ Chris Concannon CEO MarketAxess Innovators - Financial Services https://investor.marketaxess.com/governance/board-of-directors/person-details/default.aspx?ItemId=c3bfd7fe-183a-4e66-9e38-2bbe7812c60a Clem Delangue Co-Founder and CEO Hugging Face AI for Good / Research https://www.linkedin.com/in/clementdelangue/ Clémentine Fourrier Research Scientist Hugging Face AI for Good / Research https://www.linkedin.com/in/clefourrier/ Dave Salvagnini CDO NASA Public Sector https://www.linkedin.com/in/dave-salvagnini-b432b0a9/ David Hardoon Global Head of AI Enablement Standard Chartered Innovators - Financial Services https://www.linkedin.com/in/davidrh/ David Palmer Senior Supervisory Financial Analyst Federal Reserve Board Public Sector https://www.linkedin.com/in/david-palmer-625864a/ Deep Ratna Srivastav Chief AI Officer Franklin Templeton Innovators - Financial Services https://www.linkedin.com/in/deepsrivastavinnovate/ Deven Panchal AI Lead AT&T Innovators - Enterprise https://www.linkedin.com/in/panchaldeven/ Dr. Promiti Dutta Head of Analytics Technology & Innovation Citi Innovators - Financial Services https://www.linkedin.com/in/promiti/ Dr. Ramine Tinati Chief AI Officer Accenture Innovators - Enterprise https://www.linkedin.com/in/raminetinati/ Ediz Ozkaya Portfolio Manager World Quant Innovators - Financial Services https://www.linkedin.com/in/edizozkaya/ Gabriel Vernalha Ribeiro CDAO DASA Innovators - Enterprise https://www.linkedin.com/in/gvribeiro/ Gan Kim Yong Deputy Prime Minister Singapore Public Sector https: U.S. Federal Government | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Sovereign AI for the U.S. Federal Government Mission-Ready. Field-Tested. Fully Contained. Delivering AI built for trust, transparency, and total control — without cloud lock-in. LEARN HOW Secure, Auditable, and Effective AI for Federal Missions Federal agencies are under pressure to do more with less—serve citizens faster, manage growing workloads, and respond to emerging threats. H2O.ai delivers enterprise-grade AI that’s sovereign, air-gapped, and deployable at the edge or in secure data centers. Our technology powers mission-critical use cases across agencies and domains—from homeland security and disaster prediction to document summarization and border resource planning. Secure, Auditable, and Effective AI for Federal Cybersecurity Missions Federal agencies face increasing cybersecurity threats—while still being expected to serve faster, operate leaner, and respond in real time. H2O.ai delivers enterprise-grade AI that’s built for the highest levels of security: sovereign, air-gapped, and fully auditable. Deploy it at the edge, in classified environments, or within secure federal data centers. From cybersecurity threat detection and vulnerability triage to secure document analysis and mission planning, H2O.ai powers trusted AI for agencies on the front lines of national defense, intelligence, and public safety. Federal Use Cases AI Agents for Insider Threat Detection AI Agents for Insider Threat Detection AGENCY Cyber Defense / SOC Operations CHALLENGE Insider threats and advanced attacks often go undetected due to alert fatigue and manual triage. SOLUTION Agentic AI automates threat hunting by correlating SIEM alerts, identity logs, and behavior patterns—flagging anomalies, escalating risk, and reducing investigation time from days to minutes. AI Agents for Critical Infrastructure Protection AI Agents for Critical Infrastructure Protection AGENCY Law Enforcement CHALLENGE Cyber-physical threats to infrastructure require real-time response across diverse. SOLUTION Agentic AI monitors OT telemetry and threat intel, simulates failure scenarios, and recommends actions—accelerating detection and recovery for power grids, pipelines, water and transit systems. Audio Surveillance & Translation Audio Surveillance & Translation AGENCY Law Enforcement CHALLENGE 80% of wiretap data goes unanalyzed due to language and time constraints. SOLUTION h2oGPT and Hydrogen Torch automate transcription, translation, and analysis of multilingual audio in disconnected, secure environments—cutting manual review time and boosting intelligence coverage. Satellite Imagery & Object Detection Satellite Imagery & Object Detection AGENCY Defense & Geospatial Analysis CHALLENGE Manual review of satellite imagery is time-intensive and error-prone. SOLUTION With H2O Driverless AI and Label Genie, agents automate identification of ships, vehicles, and infrastructure from overhead imagery, enabling near real-time geospatial intelligence. Policy Forecasting and Impact Analysis Policy Forecasting and Impact Analysis AGENCY FEMA CHALLENGE Reactive resourcing and no forward view of policy impact. SOLUTION H2O.ai enables “What If” scenario modeling using AutoML and public data (no PII), cutting 12+ months of custom dev and reducing analyst burden by 80%. Anomaly Detection for IT Ops Anomaly Detection for IT Ops AGENCY Civilian Agency Helpdesk CHALLENGE Late or missed alerts for major software/system crashes. SOLUTION H2O.ai uses time-series forecasting to predict anomalies across 700k+ rows of hourly data, enabling proactive alerts and reduced downtime. Document AI and Archive Summarization Document AI and Archive Summarization CHALLENGE Agencies are overwhelmed by unstructured documents—legislation, rulings, policy drafts, FOIA responses. SOLUTION h2oGPTe offers offline, sovereign summarization of large corpora including IRS filings, court documents, National Archives, and internal knowledge bases—deployable behind firewalls. Agency Assistants and Chatbots Agency Assistants and Chatbots CHALLENGE Internal workflows are slow and citizen interactions disjointed. SOLUTION Vertical agents trained on internal documents streamline onboarding, procurement, and compliance inquiries—while constituent-facing chatbots answer public questions at scale. Why H2O.ai Sovereign by Design Run H2O.ai anywhere: secure data centers, tactical edge, or air-gapped servers. No external APIs or third-party dependencies. Secure & Compliant FedRAMP in-process, with full audit trails, transparent AI decisioning, and role-based access controls. Domain-Proven Over a decade of experience in regulated industries, powering Fortune 500 companies and critical public sector infrastructure. Responsible AI Built-in explainability and customizable guardrails ensure responsible deployment from day one. NIH Reduces IT Service Ticket Volume with Secure, Air-Gapped Generative AI H2O.ai h2oGPTe powers an intranet-native NIH Business Assistant that helps 8,000 users across 28 institutes quickly find answers—deflecting up to 10,000 annual service requests without exposing data outside the NIH network. “By deploying H2O.ai’s h2oGPTe inside our air‑gapped environment, we delivered a secure Generative AI assistant that surfaces precise policy and procurement answers in seconds—freeing our team to concentrate on mission‑critical improvements instead of repeating FAQs." — Director ONBS, NIH LEARN MORE AI for Disaster Prediction: Arg H2O Label Genie | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O Label Genie Nobody likes to label data. Let AI do it for you. Rapidly annotate datasets supported in H2O Hydrogen Torch Features deep dive Benefits Security Keep your data secure within your environment while annotating it. Available as a fully managed solution hosted by H2O.ai or as a hybrid solution to run on the custom environment or VPCs. Both deployment options are SOC2 compliant. Speed Use the power of AI to speed up tedious data annotations. Gain 10x speed up or even fully automate your data annotation worfklow. End-to-end solution Use the annotated data to build solutions to your business problems. H2O platform provides the full set of tools for it: Traing state of the art deep learning models with H2O Hydrogen Torch. Deploy the models to H2O MLOps and use them in your environment. Your Data - Your AI Use H2O Label Genie together with H2O Hydrogen Torch to train your own deep learning models. Agricultural applications Sentiment analysis Sports analytics Medical imaging AI for Good Disaster management We support a range of use cases across multiple industries, including real-time and batch applications with extremely large models, such as LLMs and tiny AI models, designed for edge devices. See 100+ Deep Learning Use Cases Annotate any unstructured data Data types Texts and documents Images and video frames Audio recordings Deep Learning tasks Classification Regression Object Detection Instance Segmentation Entity recognition Summarization Learn More H2O Label Genie is available in the H2O AI Cloud. Request for an H2O team member to walk you through a demo. Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Sovereign AI for Public Sector | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Sovereign AI for Public Sector Agencies and Institutions Governments and enterprise-scale institutions trust H2O’s ability to balance speed, accuracy, and precision with high-touch compliance considerations. LEARN HOW Governments Rely on H2O.ai Technology Foundation As the world leader in deep learning accuracy, H2O is uniquely situated to navigate the complexities of large-scale citizen data, growing infrastructure demands, and privacy regulations. Our platform is adaptable, scalable, and secure in cloud-based, on-premise, and hybrid environments. No cloud lock-in. No third-party risk. Hardware agnostic and scalable. No data sharing. No model exfiltration. In-house, on-the-ground KGM expertise in global hubs. Airgapped and FedRAMP (in process). Transparent. Secure. Production-Ready. H2O.ai is a key AI deployment partner to government agencies across North America, APAC, Europe, and the Middle East. Our technology is proven in regulated environments worldwide, with thousands of local rollouts. Digital service delivery Digital transformation Citizen experience Economic development Workforce modernization Public/private partnerships Infrastructure Resilience Healthcare Smart infrastructure Defense & National Security Public safety Emergency response Advancing Enterprise AI Capabilities from Pilots to Production Our platform accelerates AI adoption, equipping organizations with best-in-class tools and upskilling talent to launch sophisticated AI agents. h2oGPTe is the industry’s first multi-agent generative AI platform to bring together the strengths of generative AI and predictive AI with airgapped, on-premise deployment options. READ MORE Enterprise LLM Studio is a no-code fine-tuning framework—built by H2O.ai in-house Kaggle Grandmasters—that enables organizations to create custom, state-of-the-art LLMs tailored for enterprise applications. READ MORE H2O Driverless AI delivers automated machine learning (AutoML) that systematically addresses multiple steps in the data science lifecycle. READ MORE EXAMPLE USE CASES True institutional partnership, trusted by nations globally Australia Australia’s Commonwealth Bank (CBA) cuts fraud by 70% with H2O Enterprise AI. CBA utilizes thousands of models running over billions of data points in real time to improve service experience. READ MORE United States FedRamp - High Impact. In Progress . H2O.ai achieves FedRAMP® "In Process" designation at high impact level. This designation is now listed on the FedRAMP Marketplace and is sponsored by a U.S. federal agency. READ MORE AWS h2oGPTe is listed in the AWS Marketplace for the U.S. Intelligence Community (ICMP). ICMP is a curated digital catalog from Amazon Web Services (AWS) that makes it easy to discover, purchase, and deploy software packages and applications from vendors that specialize in supporting government customers. READ MORE AT&T and Argonne National Laboratorie s AT&T and Argonne National Laboratories partners with H2O to replace physics-only simulations with faster AI-accelerated forecasting to optimize fleet routes and reduce fuel consumption READ MORE Singapore Singtel utilizes h2oGPTe to deliver a sovereign GenAI platform APAC wide, for private and public sector organizations with strict data protection needs. Enterprise h2oGPTe offered as an AI service on Singtel’s AI cloud powered by Singtel Paragon platform. READ MORE AI AGENT What’s Possible with h2oGPTe Agents Citizen-Facing AI Agents Multilingual chatbots trained on internal systems and public records to answer citizen questions on healthcare, housing, taxes, and more. Document Summarization & Policy Drafting AI ingests unstructured documents (e.g., legislation, FOIA requests, planning proposals) and generates compliant, searchable summaries behind the firewall. Flood Prediction & Disaster Planning AI models forecast flood risks and support proactive emergency response planning. Multilingual Audio Analysis for Security AI transcribes, translates, and detects patterns in audio files (e.g., wiretaps) to support intelligence and public safety. Anomaly Detection in IT & Infrastructure Time-series AI flags early warnings in civic networks, transportation, and IT systems to minimize disruptions. Workforce & Procurement Assistants Agentic tools automate onboarding, procurement, and HR workflows—reducing manual tasks. Scenario Modeling for Policy Simulation AutoML tools simulate “what-if” policy impacts using public data (e.g., tax, migration, budget scenarios). Citizen Services Security & Resilience Internal Operations Best-in-Class Agents For Sovereign AI REQUEST LIVE DEMO Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. H2O MLOps | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O MLOps Operate AI Models with transparency, scale and confidence. Request Demo H2O MLOps provides a collaborative environment that makes it easy for organizations to manage, deploy, govern, and monitor machine learning models in production. Today, many organizations struggle to move from experimenting with AI to production AI models that drive meaningful business outcomes. Standing in the way are cumbersome and manual processes, DevOps skills or resources, and an ability to monitor models that are becoming less accurate or more biased overtime. H2O MLOps provides a simple interface that enables end-to-end model management, 1-click deployments, automated scaling, and model monitoring that provides automated drift detection for both accuracy and bias. With H2O MLOps, organizations will more rapidly move AI models to production and improve them as they deliver positive and responsible results. Download the Product Brief Benefits Accelerate the time-to-value of AI outcomes Automation makes moving from experimentation to model deployment simple, seamless and continuous. H2O MLOps helps Data Science teams quickly take ML projects to production, reducing weeks to days, and days to hours. Operate AI with agility and confidence Automatically monitor models in real-time and set custom thresholds to receive alerts on prediction accuracy and data drift. H2O MLOps ensures that all deployed models are operating as intended. Achieve consistent ML model delivery Reduce MLOps management with high-availability deployments and automated scaling that ensures Data Scientists can focus their time on making AI that delivers value. Capabilities Model Management & Registry 3rd Party Model Ingestion Operate models from a wide-variety of machine learning frameworks, including: H2O.ai, pyTorch, scikit-learn, XGBoost, and many more. Customers have the option of importing their models using pre-built integrations with Driverless AI or MLflow, or upload models in Pickle serialized format. Leaderboard Compare experiments against each other, using an evaluation metric of your choice. Metrics are imported automatically as the experiment’s metadata, and made available for users to determine the leaders. 3rd Party Model Management Support Browse for models stored in 3rd party model management tools, directly using the MLOps UI, and import the artifacts to be deployed and monitored using H2O MLOps. Collaborative Experiment Repository H2O MLOps includes a collaborative model repository that enables data scientists to manage, permission, and share their experiments and models with co-workers. Model Registry and Model Versioning Upon comparing models against each other, register the best performing model(s) into the Model Registry, to prepare for deployment. Take advantage of iterations of models for the same model type, using Model Versioning. Model Deployment Deployment Modes When introducing a new model or a new model version, operations teams may want to test with live traffic and compare results with the prior version. With H2O MLOps, users can run comparison tests between production model (champion) and an experimental model (challenger), or test two (or more) models and compare results in a simple A/B test. Multiple Environments H2O MLOps uses customer-provisioned Kubernetes environments and supports multiple infrastructure environments simultaneously. MLOps teams can have environments for development, testing, and production, all running in different locations. Deployment Type Easily serve your model as a real-time deployment (synchronous or asynchronous) or batch deployment (one-time or scheduled) with the click of a button. Updates & Rollbacks Machine learning models can require frequent updates in production. With H2O MLOps, operations can easily replace models with a few clicks, and Kubernetes automatically handles the routing of new requests to the new model while the prior version handles old requests. Similarly, if there’s a need to roll back to a previous version, that can also be done with the click of a button. Model Monitoring & Alerts Model Drift When data changes between training and production, models can become less effective. This “drift” is tracked by looking at differences between training and production data for each model feature. H2O.ai also offers an AI application for drift detection designed for data scientists, which has detailed views of each feature so data scientists can determine if they want to refit, retrain or build a new production model. Accuracy As models serve in production for some time, model performance and accuracy generally degrades. In order for organizations to be confident that their models are predicting as desired, model accuracy should be monitored. H2O.ai has monitoring capabilities for both regression models and classification models. Fairness & Bias Machine learning models are inherently subject to bias, which can be caused by a number of factors. Fairness is not only a question of ethics, but also instrumental to achieving optimal business value. H2O MLOps monitors models for bias to provide organizations with information to achieve better business value from their models. Operational Production models are often served on infrastructure that are prone to operational issues. Sudden spikes in request volume or issues with model objects can cause increased latency, or worse, outage for the deployment. H2O MLOps monitors operational metrics for organizations, so Resources Archive | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Resources All Resources Filter by resource category : X Booklets Case Studies Executive Briefs Other Product Briefs Product Data Sheets Solution Briefs Videos White Papers eBooks Clear All Your Selection Clear All LOADING... Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Research Papers | H2O.AI X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Research Papers Featured H2OVL-Mississippi Vision Language Models Technical Report H2OVL-Mississippi Vision Language Models Technical Report by Shaikat Galib, Guanshuo Xu, Pascal Pfeiffer, Ryan Chesler, Mark Landry, Sri Satish Ambati, H2O.ai Team | https://arxiv.org/abs/2410.13611 | October 17, 2024 Smaller vision-language models (VLMs) are becoming increasingly important for privacy-focused, on-device applications due to their ability to run efficiently on consumer hardware for processing enterprise commercial documents and images. These models require strong language understanding and visual capabilities to enhance human-machine interaction. To address this need, we present H2OVL-Mississippi, a pair of small VLMs trained on 37 million image-text pairs using 240 hours of compute on 8 x H100 GPUs. H2OVL-Mississippi-0.8B is a tiny model with 0.8 billion parameters that specializes in text recognition, achieving state of the art performance on the Text Recognition portion of OCRBench and surpassing much larger models in this area. Additionally, we are releasing H2OVL-Mississippi-2B, a 2 billion parameter model for general use cases, exhibiting highly competitive metrics across various academic benchmarks. Both models build upon our prior work with H2O-Danube language models, extending their capabilities into the visual domain. We release them under the Apache 2.0 license, making VLMs accessible to everyone, democratizing document AI and visual LLMs. Read more Model Validation Practice in Banking: A Structured Approach by Agus Sudjianto, H2O.ai Team | Technical Report | October 02, 2024 This paper presents a comprehensive overview of model validation practices and advancement in the banking industry based on the experience of managing Model Risk Management (MRM) since the inception of regulatory guidance SR11-7/OCC11-12 over a decade ago. Model validation in banking is a crucial process designed to ensure that predictive models, which are often used for credit risk, fraud detection, and capital planning, operate reliably and meet regulatory standards. This practice ensures that models are conceptually sound, produce valid outcomes, and are consistently monitored over time. Model validation in banking is a multi-faceted process with three key components: conceptual soundness evaluation, outcome analysis, and on-going monitoring to ensure that the models are not only designed correctly but also perform reliably and consistently in real-world environments. Effective validation helps banks mitigate risks, meet regulatory requirements, and maintain trust in the models that underpin critical business decisions. Read more Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting by Agus Sudjianto et al., H2O.ai Team | Technical Report | July 31, 2024 Recent work in behavioral testing for natural language processing (NLP) models, such as Checklist, is inspired by related paradigms in software engineering testing. They allow evaluation of general linguistic capabilities and domain understanding, hence can help evaluate conceptual soundness and identify model weaknesses. However, a major challenge is the creation of test cases. The current packages rely on semi-automated approach using manual development which requires domain expertise and can be time consuming. This paper introduces an automated approach to develop test cases by exploiting the power of large language models and statistical techniques. It clusters the text representations to carefully construct meaningful groups and then apply prompting techniques to automatically generate Minimal Functionality Tests (MFT). The well-known Amazon Reviews corpus is used to demonstrate our approach. We analyze the behavioral test profiles across four different classification algorithms and discuss the limitations and strengths of those models. Read more H2O-Danube3 Technical Report by Pascal Pfeiffer, Philipp Singer, Yauhen Babakhin, Gabor Fodor, Sri Satish Ambati, H2O.ai Team | Technical Report | July 12, 2024 We present H2O-Danube3, a series of small language models consisting of H2O-Danube3-4B, trained on 6T tokens and H2O-Danube3-500M, trained on 4T tokens. Our models are pre-trained on high quality Web data consisting of primarily English tokens in three stages with different data mixes before final supervised tuning for chat version. The models exhibit highly competitive metrics across a multitude of academic, chat, and fine-tuning benchmarks. Thanks to its compact architecture, H2O-Danube3 can be efficiently run on a modern smartphone, enabling local inference and rapid processing capabilities even on mobile devices. We make all models openly available under Apache 2.0 license further democratizing LLMs to a wider audience economically. Read more H2O-Danube-1.8B Technical Report by Philipp Singer, Pascal Pfeiffer, Yauhen Babakhin, Gabor Fodor, Sri Satish Ambati, H2O.ai Team | Technical Report | January 30, 2024 We present H2O-Danube-1.8B, a 1.8B language model trained on 1T tokens following the core principles of LLama 2 and Mistral. We leverage and refine various techniques for pre-training large language models. Although our model is trained on significantly fewer total tokens compared to reference models of similar size, it exhibits highly competitive metrics across a multitude of benchmarks. We additionally release a chat model trained with supervised fine-tuning followed by direct preference o Events Overview | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Events All All Webinars Show Past Events LOADING... Load More Ready to see the H2O.ai platform in action? Make data and AI deliver meaningful and significant value to your organization with our platform. 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H2O.ai Documentation H2O AI Cloud Generative AI H2O Wave H2O Driverless AI H2O-3 API clients Sparkling Water Enterprise Steam Puddle H2O Health Additional resources H2O AI Cloud A complete AI platform to make and operationalize AI/ML apps and models in the Cloud Integration of the following and other components: - H2O AI Engine Manager - H2O App Store - H2O Orchestrator - H2O AutoInsights - H2O Document AI - H2O Feature Store - H2O Hydrogen Torch - H2O MLOps - H2O Notebook Labs More resources --> Generative AI Learn more about H2O's work with large language models (LLMs) Enterprise h2oGPTe Enterprise h2oGPTe documentation h2oGPT h2oGPT GitHub repository h2oGPT documentation H2O Eval Studio H2O Eval Studio documentation H2O LLM Studio H2O LLM Studio GitHub repository H2O LLM Studio documentation H2O LLM Data Studio H2O LLM Data Studio documentation H2O Enterprise LLM Studio H2O Enterprise LLM Studio documentation H2O Wave Make your own AI/ML apps and dashboards with Python/R and deploy in any environment or Cloud H2O Wave is licensed under the Apache License, Version 2.0 More resources --> H2O Driverless AI Automatic machine learning for the Enterprise. H2O Driverless AI automates feature engineering, model building, visualization and model interpretability More resources H2O-3 H2O open source (H2O-3): distributed, in-memory machine learning platform that works from the UI, R, Python, Scala on Hadoop/Yarn, Spark, or your laptop H2O is licensed under the Apache License, Version 2.0 More resources API clients View documentation for H2O's API clients Python H2O AI Cloud code samples and tutorials H2O AI Engine Manager Python client H2O Driverless AI Python client H2O-3 Python client H2O MLOps Python client H2O MLOps Scoring client H2O Feature Store Python client H2O eScorer Python client R H2O Driverless AI R client H2O-3 R client H2O Sparkling Water H2O Sparkling Water combines the fast, scalable machine learning algorithms of H2O open source with the capabilities of Spark Sparkling Water is licensed under the Apache License, Version 2.0 More resources Enterprise Steam Securely manage and connect to H2O Driverless AI and H2O open source Machine Learning Engines in a Hadoop or Kubernetes environment Puddle H2O.ai's platform for orchestrating and managing H2O Driverless AI and H2O open source in cloud environments More resources H2O Health H2O Health applications solving complex healthcare and life science problems Additional resources Resources for obtaining more information Need help? 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COOKIE PREFERENCES | PRIVACY POLICY | TERMS OF USE COURSES | LEARNING PATHS | FAQ | DOCUMENTATION H2O.ai | Convergence of the World’s Best Predictive and Generative AI for Private, Protected Data X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O AI Super Agent™ for Sovereign AI REQUEST LIVE DEMO LEARN MORE BEYOND SURFACE-LEVEL INSIGHTS We Built the World’s Leading Deep Research Solution, On-Premise & Air-Gapped .slick-arrow::before { color: #2B2C2D; font-size: 20px; }</style>","navigationDotStyle":"<style>.slick-dots li button:before { color: #373630; font-size: 12px; } .slick-dots li { margin: 0 10px; } .slick-dots { bottom: -30px; } </style>","noOfSlidesDesktop":"3","noOfSlidesTab":"2","noOfSlidesMobile":"1"}" data-slide-properties="{"width":"630px","margin-left":"20px","margin-right":"20px"}"> tabH2O TabH2O is a foundation model for tabular data. Send a CSV, get predictions back. No model training, no infrastructure, no data stored. Learn more Enterprise LLM Studio Distill and Fine-Tune SLMs on Your Private Data. Learn more h2oGPTe A secure, enterprise platform that converges generative and predictive AI—purpose-built for SLMs and LLMs. Learn more H2O Driverless AI Accelerate model development with automatic feature engineering and explainability. Learn more SOCIAL PROOF Transform Your Data into Secure, Autonomous Agents—Today Trusted by the World’s Most Regulated Industries Australia’s largest bank cuts fraud by 70% with H2O Enterprise AI We trained 900 of our analysts to use H2O.ai. Every decision we make for our customers—and we make millions every day—we’re making those decisions 100% better using H2O.ai - Andrew McMullan, Former Chief Data & Analytics Officer, Commonwealth Bank of Australia READ USE CASE AT&T + h2oGPTe transform call center operations, return 2X ROI in free cash flow Last year, we returned 2X ROI in free cash flow on every dollar we spent on generative AI. That’s a one-year return. - Andy Markus, CDO, AT&T. H2O.ai continues to innovate and define what’s next in AI. With their partnership, we’re moving faster, delivering more value, and co-creating new AI products. Andy Markus, CDO, AT&T READ USE CASE NIH + h2oGPTe create 24/7 “business assistant” to support 8K federal employees By deploying H2O.ai’s h2oGPTe inside our air‑gapped environment, we delivered a secure Generative AI assistant that surfaces precise policy and procurement answers in seconds—freeing our team to concentrate on mission‑critical improvements instead of repeating FAQs.” Director ONBS, NIH READ USE CASE H2O.ai helps you transition from pilots to production using your models and private data—deployed securely on your infrastructure. Active, global ecosystem of 2M+ data science users on H2O.ai open source. In-house, on-the-ground KGM expertise in global hubs. End-to-end GenAI platform built for air-gapped, on-premises or cloud VPC deployments. Used by banks, telcos, and government agencies worldwide. No data sharing. No model exfiltration. Airgapped and FedRAMP. LEARN MORE LEARN MORE ABOUT OUR TECHNOLOGY PARTNERS SMART WORKFLOWS SECURED Autonomous agentic workflows with human-in-the-loop oversight, reasoning, and safeguards — at the highest possible accuracy. From fraud detection to HR support agents, H2O Vertical Agents scale the delivery of critical jobs to be done, without compromising trust. Works with Your Apps Together, they enable agents that go beyond language—able to forecast, reason, optimize, and take action. This convergence powers decision-making and automation across enterprise workflows. KYC and customer onboarding Loan automation and fraud investigations Trade reconciliation and regulatory reporting Wealth portfolio rebalancing and debt collection Call center resolution and customer support Document routing and policy filing Call center classification Text to SQL Customer service agents Billing issue resolution agents NOC alert triage agents Field dispatch optimization agents Audio Surveillance & Translation Satellite Imagery & Object Detection Immigration Policy Simulation Anomaly Detection for IT Ops LLM-Powered Document & Archive Summarization Agency Assistants and Chatbots Vertical agents in banking Vertical agents in telco Vertical agents in public sector The Highest Caliber Institutions Trust H2O.ai’s Technology Vision H2O is modular, composable, and enterprise-ready—built for speed, accuracy, and high-precision. Our h2oGPTe Agent consistently tops the leaderboard for deep research accuracy We were the first to achieve 75% accuracy on the General AI Assistant (GAIA) test, placing us ahead of OpenAI’s deep research. X Read More Gartner MQ DSML H2O.ai is recognized based on its completeness of vision and ability to execute. X Read More AI AGENT Create powerful AI agents to automate work at scale Vertical Agents Create powerful domain-specific agents to automate work at scale on your private data. Digital Assistants Find answers. Generate responsive, situation-specific content you can trust. Safety H2O MRM and Eval Studio provide automated testing, human-calibrated evaluations, and real-time risk monitoring to ensure transparency—strengthening compliance, risk management, and user confidence. Easily Integrate Into Your Stack H2O’s APIs make it easy to integrate agentic AI search and task agents into existing workflows via Google Drive, SharePoint, Slack, Teams, and more. Best-in-Class Agents For Sovereign AI REQUEST LIVE DEMO Why H2O.ai About Us Team Press & News Careers Custome H2O AI Cloud X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O AI Cloud Accelerate and Scale AI Results with Trust and Confidence REQUEST LIVE DEMO H2O.ai Achieves SOC2 Type 2 + HIPAA/HITECH Report with Unqualified Status - Reinforcing Commitment to Data Security and Customer Trust. GET STARTED NOW Step 1: Our Cloud or Yours? Managed Cloud (H2O.ai hosted) Get all the value of the H2O AI Cloud without the day to day operations or maintenance of running a scalable Kubernetes cluster. LEARN MORE Hybrid Cloud (self hosted) End-to-end data science and machine learning platform hosted in your private cloud or on-premise. LEARN MORE What makes H2O AI Cloud great? Best in class AI Powered by an award winning AutoML and no-code deep learning engines Freedom & flexibility One platform that operates across clouds, on-premises environments, and data sources Innovation The first dedicated AI Appstore to unleash AI across the enterprise AI for everyone Automated machine learning has removed barriers to AI adoption by wrapping the expertise needed to build models into a guided approach to data science that allows users to access the power of machine learning without the need to write any code. DOWNLOAD DATASHEET What our customers are saying G2 reviews READ MORE Gartner reviews READ MORE "It gives you great insights within minutes without investing lots of hours and having a lot of experience and knowledge. With the new functionality on NLP and computer vision, it becomes even more powerful.” Director, Data & Analytics “Better than many platforms of similar services. It requires less coding and model interpretation analyses is provided.” Data Analyst “Really good platform. Amazing support. Good integrations with other tools including open source.” Data Scientist Best-in-Class Agents For Sovereign AI REQUEST LIVE DEMO Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. H2O.ai Partner Solutions X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Our Partner Community We are proud to be partnered with world class companies to deliver the best in AI and machine learning for our customers. All Partners System Integrators Resellers Cloud Technology Distributors Professional Services Global LATAM NAMER EMEA APAC GLOBAL Learn More HPE HPE is the global edge-to-cloud company built to transform your business. How? By helping you connect, protect, analyze, and act on all your data and applications wherever they live, from edge to cloud, so you can turn insights into outcomes at the speed required to thrive in today’s complex world. Learn More Pandata Pandata helps innovative organizations design and develop practical AI applications that are human-centered, trustworthy, and explainable. Their high-performance solutions drive business transformation while addressing privacy, fairness, and transparency. The AI Design Launchpad, powered by H2O.ai, alleviates the pressures to properly address concerns around privacy, fairness, and transparency in AI by making scalable, strategy-first AI accessible to venture backed startups and the middle market. Learn More IBM IBMers believe in progress — that the application of intelligence, reason and science can improve business, society and the human condition. Our scientists are pioneering the future of artificial intelligence, creating breakthroughs like quantum computing that will allow us to process information in entirely new ways, defining how blockchain will reshape the enterprise, and so much more. We are driven to discover. Learn more about our partnership Learn More UiPath UiPath is leading the “automation first” era – championing a robot for every person and enabling robots to learn new skills through AI and machine learning. Through free and open training, UiPath is led by a commitment to bring digital era skills to millions of people around the world, thereby improving business productivity and efficiency, employee engagement and customer experience. Learn More Subsalt Subsalt’s Generative Database guarantees privacy protections and regulatory compliance for existing data science, machine learning, and data sharing workflows and applications. Learn More Teradata Teradata Vantage is the connected multi-cloud data platform for enterprise analytics that unifies everything. H2O AI Hybrid Cloud is integrated with Teradata to enable Teradata and H2O.ai’s customers to quickly and easily make, deploy, and operate AI solutions that solve business problems' LATAM Learn More Accerte A Accerte Tecnologia da Informação é uma empresa líder no fornecimento de soluções inovadoras e personalizadas para a gestão de TI, dedicada a transformar a eficiência e a segurança das operações empresariais. Com uma abordagem centrada no cliente, a Accerte oferece um portfólio abrangente de serviços, incluindo consultoria especializada, implementação de sistemas, engenharia e ciência de dados, além de sustentação de TI e suporte técnico contínuo. A empresa é reconhecida por sua capacidade de integrar tecnologias de ponta, como cloud computing, segurança cibernética e automação, proporcionando uma infraestrutura de TI robusta e escalável. A Accerte se destaca por sua expertise em entender as necessidades únicas de cada cliente, desenvolvendo soluções sob medida que garantem maior produtividade, redução de custos e conformidade regulatória. Com uma equipe altamente qualificada e um compromisso inabalável com a excelência, a Accerte é o parceiro ideal para organizações que buscam otimizar seus processos de TI e alcançar uma vantagem competitiva no mercado. _________________________________________ Accerte Tecnologia da Informação is a leading company in providing innovative and customized IT management solutions, dedicated to transforming the efficiency and security of business operations. With a customer-centric approach, Accerte offers a comprehensive portfolio of services, including specialized consulting, system implementation, data engineering and science, as well as IT support and continuous technical assistance. The company is recognized for its ability to integrate cutting-edge technologies such as cloud computing, cybersecurity, and automation, providing a robust and scalable IT infrastructure. Accerte stands out for its expertise in understanding each client’s unique needs, developing tailored solutions that ensure higher productivity, cost reduction, and regulatory compliance. With a highly qualified team and an unwavering commitment to excellence, Accerte is the ideal partner for organizations looking to optimize their IT processes and gain a competitive edge in the market. Learn More Kie.Tec A kie.tec trabalha para atender às necessidades estratégicas das organizações. Juntos, estamos comprometidos a ajudar você a explorar todo o seu potencial, viver momentos de descoberta e despertar sua paixão pelos dados. Somos Parceiros Revendedores da UiPath, Alteryx, H2O.ai, Tableau e provedores de serviços de tecnologia, realizamos consultoria, treinamento e implementação. Ajudamos você a utilizar a solução dimensionada a sua necessidade aproveitando ao máximo seus investimentos. Desenvolvemos soluções personalizadas orientando a melhor forma de extrair valor dos seus dados. Learn More Tarea Fundada em 2009, a Tarea Gerenciamento é uma empresa brasileira que presta serviços e consultoria em TI. Com uma equipe de alto desempenho, a Tarea trabalha com a H2O.ai para ajudar os clientes a atingir seus objetivos de forma ráp Legal | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Legal Terms and Conditions SLA & Customer Support Policy The policy outlines H2O.ai's customer support and service level agreements. End User License Agreement Detailing the terms and conditions of our online license. Security and Trust Security and Trust Portal Learn how H2O.ai enforces security and trust for our users. Resources User documentation link Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. What is an AI Cloud? | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X What is an AI Cloud? Request a Demo Businesses and governmental organizations are increasingly viewing artificial intelligence (AI) as a required technology, both to compete and win in the marketplace and to meet increasing citizen and mission demands. These organizations struggle with piecing together multiple technological components that accelerate the AI lifecycle and make it easy for an entire organization to solve a range of problems with AI. In addition, AI requires scale and elasticity, so operating technologies across the AI lifecycle further complicates AI adoption across an organization. An AI Cloud solves both of these challenges, making it easier for organizations to roll-out AI to every business unit and build it into the fabric of day-to-day operations. AI Clouds offer technology across the AI lifecycle, including making features, models, and apps, operating and monitoring them, and sharing them across the organization. Technologies that support the end-to-end AI lifecycle are called AI platforms. When these platforms are available in high-scale and elastic environments they are referred to as AI Clouds. AI Clouds can be managed by customers or the AI vendors themselves. When the environment is managed by customers, they are often referred to as “ Hybrid Cloud ” environments. The customer can operate the AI Cloud on their infrastructure of choice, either on-premises, private cloud, hybrid cloud , or public cloud. Customers manage the infrastructure, scale, elasticity, reliability, and security of the environment. When vendors manage the AI environment, these are typically referred to as “ fully managed ” AI Cloud environments. Fully Managed AI Clouds make it easy for customers to get started; they create an account and are making AI within minutes. Additionally, the vendor manages the infrastructure, elasticity, and security, which takes the burden off of data science, analytics, and supporting IT teams. H2O.ai offers an advanced AI Cloud that helps organizations rapidly make, operate, and innovate with AI to rapidly solve business problems. Our offering the H2O AI Cloud , enables customers to select their infrastructure of choice and incorporate the AI Cloud into their secure and compliant environments. H2O.ai has helped companies such as AT&T , Wells Fargo, and Nationwide solve 100s of business challenges, and these customers continue to use H2O to solve new business challenges every day. Request a demo of the H2O AI Cloud in a fully managed environment, which helps interested organizations get started quickly and explore the full capabilities of our AI Cloud platform. Ready to see the H2O.ai platform in action? Make data and AI deliver meaningful and significant value to your organization with our platform. Request a Live Demo Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. AWS | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X The world’s best agentic AI converging generative and predictive AI–available on AWS Marketplace H2O AI Cloud is a full stack generative AI and machine learning platform designed to accelerate and scale your AI initiatives. Buy with AWS Purchase this listing from H2O.ai in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges appear on your AWS bill. Our end-to-end SaaS AI platform is a fully managed cloud-native solution, delivering seamless scalability, robust security, and enterprise-grade performance. With H2O AI Cloud, you own every part of your AI stack—your data, your prompts, and your models — ensuring full control, privacy, and security over your AI initiatives. Core platform capabilities Bring Your Own Identity (IdP) Seamlessly integrate your existing Identity Provider (IdP) for streamlined access management and single sign-on (SSO). SaaS Management Streamline user and access management, workload management, enforce granular permissions, and monitor usage effortlessly. Secure AWS Connectivity Connect your AWS accounts to H2O AI Cloud securely using AWS PrivateLink, enabling low-latency, private connections. End-to-End Encryption Data at rest and in transit is fully encrypted to comply with enterprise security and privacy standards. Drive Personal object store for secure, scalable data storage and sharing across H2O applications. Secure Store A robust, centralized repository for managing user credentials and data securely. Orchestrator Manage and schedule AI and ML workflows efficiently. Model Hub Centralized repository for effective model lifecycle management. Notebooks Unified workspace for managing Python, R, and Spark notebooks in one interface. Telemetry Monitor and visualize platform, workflow and resource usage for better insights and operational efficiency. Choose the right services for your use case: H2O AI Cloud offers a flexible suite of services, allowing you to select the right tools for your specific needs—whether you’re building custom large language models, automating machine learning workflows, or deploying AI solutions at scale. With a modular architecture and enterprise-grade capabilities, the platform adapts to your requirements. Generative AI: Enterprise h2oGPTe : Enterprise LLM platform. Connect any LLM/embedding model, includes guardrails, summarization, cost controls, and customization options. H2O Eval Studio : Assess the performance, reliability, safety, and effectiveness of RAG and LLM-based applications. H2O LLM Studio : fine-tuning for custom enterprise-grade LLMs. Train scalable SLMs for cheaper, more efficient NLP use cases. H2O Data Studio : Data preparation for LLM fine-tuning, a no-code web application specifically designed to streamline and facilitate data curation, preparation, and augmentation for large language models training and fine-tuning. H2O LLMOps : Operationalize, deployment, scalable hosting, continuous monitoring, and lifecycle management. Industry leading H2O SLMs : H2O Danube3 and H2OVL Mississippi series are open weight SLMs for on-device and offline applications. Predictive AI: H2O Driverless AI : Automated machine learning (AutoML) platform that simplifies model development. H2O-3 : Distributed, scalable machine learning platform for building advanced analytics solutions. H2O Hydrogen Torch : No code deep learning. H2O Wave : Open source low-code AI AppDev Framework. H2O Label Genie : AI-powered data labeling. H2O Document AI : Intelligent document models – extracting data with intelligence. H2O MLOps : Operationalize, deployment, scalable hosting, continuous monitoring, and lifecycle management. H2O AI AppStore : Industry and use case AI apps. Buy with AWS Buy with AWS Try Now Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? 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LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. 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LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X About Us H2O.ai is the visionary leader in democratizing AI. At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI. 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Please continue to monitor our Threat Center and this Trust Site for further updates. If you need help using this Trust Center, please contact us. Contact support If you think you may have discovered a vulnerability, please send us a note. Report issue Built on H2O Brand Kit | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X BRAND KIT H2O.ai Brand Guidelines & Assets Our Brand Logo Our brand is our promise of trust, pride, excellence and integrity to our customers. Our H2O.ai corporate logo is the symbol that represents this promise. Download LOGO The H2O.ai Color System PRIMARY COLORS H2O.ai has a set of 3 primary colors. Summer yellow, Light Gray, and Black are our brand's core colors. 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Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Using AI in Business | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O.ai Use Cases Regulatory Reporting Assistant Assess whether the bank’s capital and liquidity meets financial safety and regulatory standards. Strategic Insight Summarizer Summarize bank’s strategic priorities with 2–3 key achievements. Generate 2-3 points on future opportunities. Call Summary and Resolution Summarize an audio file from a customer call and determine if the issue was resolved. Home Loan Credit Risk Assessment Assistant Assess creditworthiness based on financial history, income, and debt to support consistent, explainable home loan decisions. Loan Amount Prediction Predict how much a borrower is likely to request using historical loan data to support faster, more informed lending decisions. Financial News Analyzer Use video RAG to extract key insights from financial news videos and for fast and accurate market and performance analysis. KYC Document Verification Assistant Streamline KYC by using image RAG to read and verify driver’s license details, flagging issues like missing or expired information during onboarding. Travel Digital Assistant Answer travel questions, propose itineraries and budget plans. Financial Services Healthcare Insurance Manufacturing Marketing Retail Telecom Financial Service Use Cases Infrastructure and Operations Cyber-threat detection Help information security teams reduce risk and improve their security posture efficiently and effectively Learn more Cash Optimization Create an intelligent cash management system based on cash demand forecasting; predict cash demand Learn more Accounting and Auditing Transform auditing from quarterly to real-time, driving audit quality, accuracy and reliability Learn more Employee Retention View predictions of employee departure, forecast churn rates and identify relevant factors contained in employee data Learn more Anomaly Detection This time series process looks at expected data volumes based on historical patterns. Upper and lower boundaries... Learn more Customer Acquisition Account Opening / Card Issuing Promote products (accounts, cards) with more relevancy to boost customer acquisition Learn more Credit Scoring Help underwriters evaluate creditworthiness using alternate data sources; predict credit potential Learn more Fair Lending and Loan Predictions Simplify the process of predicting whether the customer will default Learn more Buy Now, Pay Later (BNPL) Harness alternative data beyond traditional credit checks to support credit... Learn more Debt Repayment Model prepayment risk and automate document classification to predict repayments/prepayment risks Learn more Personalized Offers Product Recommendations Understand the relationship between various products in a catalog and generating... Learn more Contextual, Cookieless Targeting Help marketing teams at FIs achieve more awareness and achieve higher conversions Learn more Behavioral Targeting Send messages/content at the right time with the right content based on individual and collective customer... Learn more Propensity to Buy Expand offers to customers with accuracy and speed by implementing predictive analytics Learn more Direct Mail Marketing Develop better customer profiles that will target direct mailing, optimizing costs behind direct in-home mailing Learn more Customer Service and Retention Customer Handling and Call Center Optimization Improve customer experience and reduce handling costs; map the query by the customer to appropriate... Learn more Customer Churn Predict customer churn based on behavioral patterns and cadence of transactions; Identify leading indicators for churn Learn more Financial Markets Bond Pricing and Performance Train and score 2-way bond pricing models in real-time; predict errors between price... Learn more Trading Strategies Define objective functions & impose constraints; formulate rule definitions; run trade simulations Learn more Factor Investing Predict factors (eg, volatility) for a given security universe and select securities generating alphas Learn more M&A Advisory Services Predict the likelihood of a public company being acquired over given time frames to provide a rapid yet in-depth... Learn more Cryptocurrency Trading Make predictions about the dynamics of the cryptocurrency market; determine the sentiment of the crypto market by.... Learn more Fraud and Compliance Application / Account Opening Fraud More accurately score applicants for fraud to drive down manual reviews... Learn more Check Fraud Quickly and accurately detect fraudulent alterations (eg, counterfeit, forged) in bank checks Learn more Collusion Fraud Detect buyer and seller collusion; analyze acticities, accounts addresses, device IDs, coordinates, ... Learn more Transaction Fraud Find new ways to improve fraud detection accuracy and detection time across multiple transaction fraud types Learn more Anti-Money Laundering Leverage ML to more accurately spot suspicious and criminal behavior; balance compliance and cost by assessing the risk... Learn more Customer 360 KYC Automation Operationalize customer data understand behavior analytics for marketing and fraud prevention use cases Learn more Customer Behavior Analysis Segment users on the basis of different attributes such as demographics data Learn more Healthcare Use Cases Providers Referral Automation Businesses and enterprises have lots of unstructured data - especially documents and image scans... Learn more Hospital Capacity Simulator Hospital capacity simulation solutio Enterprise h2oGPTe | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X ENTERPRISE GENERATIVE AI h2oGPTe Agentic AI converges generative AI and predictive with purpose-built SLMs The industry’s first multi-agent Generative AI platform to bring together the strengths of Generative AI and Predictive AI with airgapped, on-premise deployment options. Chat Now Chat on Mobile Why H2O? JSON Multimodal Code Assistant Agentic AI Citation RAG Guardrails Model Routing MRM Document AI with multimodal guided JSON generation h2oGPTe enables grounded query responses from secure, private data sources, including document repositories, knowledge bases, and databases, using advanced vector embeddings and proprietary techniques to mitigate hallucinations and enhance AI reliability. Built-in Document AI supports schema-driven JSON generation—ideal for contract summarization, compliance metric extraction, and audit-ready data structuring. Over a dozen specialized models power this pipeline, delivering highly accurate, structured outputs directly from your source documents, tailored to complex enterprise workflows. Multimodal audio & vision analysis h2oGPTe’s Audio and Vision Models extract structured data from diverse media, including audio files, images, flowcharts, and handwritten documents—ideal for visual-heavy fields where insights are embedded in diagrams and tables. Audio models transcribe and translate recordings in dozens of languages, while vision models enable autonomous content verification by AI agents. Coding assistant. Rapid prototyping & development. h2oGPTe's Coding Assistant helps developers quickly prototype ideas by generating starter code and scaffolding for new projects. It provides basic code completion and documentation, helping teams move from concept to working prototype faster. The assistant supports common programming languages and can suggest simple optimizations during development. Autonomous agentic AI: execute multi-step workflows autonomously h2oGPTe Agents bring true autonomy to your workflows, enabling LLMs to handle multi-step tasks like web research, data modeling, database access, and iterative code execution. Programmatic and continuous, these agents reduce manual workload by executing tasks requiring sequential logic, real-time decision-making, and data handling. h2oGPTe Agents can autonomously generate multi-page PDFs with charts, tables, and flowcharts based on real-time data—complete with source code for full transparency. Citation-based verification for transparent Retrieval Augmented Generation (RAG) State-of-the-art multimodal RAG with built-in citation support offers comprehensive traceability for AI-generated responses, with embedded document references that enhance transparency. This feature is ideal for audit-heavy sectors, ensuring each AI response is both accurate and verifiable. Customizable guardrails for AI safety h2oGPTe’s Guardrails and PII controls offer fine-grained access management and scoped response restrictions, enabling precise control over input and output boundaries. These customizable safeguards mitigate risks in sensitive environments, prevent unauthorized access, and ensure AI responses comply with enterprise policies and ethical standards. Intelligent model routing: optimal model selection for every task h2oGPTe's Intelligent Model Routing dynamically directs queries to the most suitable LLM based on real-time assessments of computational cost, latency, and accuracy. This system ensures each request is matched with the ideal model architecture, maximizing efficiency and performance across large-scale tasks. Model risk management for enhanced compliance and interpretability Transparent assessments with embedding and ML-driven evaluators Embedding-based metrics complemented with Natural Language Inference provide transparent, explainable and objective model assessments to enhance accountability and clarity. Calibrated metrics with human feedback Incorporating sampling of human feedbacks calibrate automated metrics, enabling efficient and trustworthy evaluations crucial for high-stakes applications. Robust testing through automated question generation Automated question generation facilitates comprehensive testing to identify model vulnerabilities and improve reliability. Rapid diagnostics with visual insights Visualizations to enable quick identification of patterns and weaknesses, supporting efficient diagnostics and model improvement. Learn More Develop, deploy and share safe and trusted applications Keep your data isolated and secure. We handle provisioning and deployment built right within H2O GenAI App Store. Choose the most cost-effective models for your use case, ensure the safety of your data and create reusable components to scale application development. Data Science Expertise Leverage OSS LLM Models Supercharge AutoML with GenAI Open Source vs Enterprise Data Science Expertise 10+ years of experience serving hundreds of Fortune 2000 companies H2O.ai created first Open Source AI for Enterprise , first .ai domain On premises, multi-cloud and SaaS support Multiple successful generations of ML/AI platforms (H2O-3/Driverless AI) Consistent visionary leadership in Gartner MQs 30 Kaggle Grandmasters at H2O.ai NEWS FLASH Team H2O LLM Studio won first place in the 2023 Kaggle LLM Science competition using RAG! Fine-Tuning of LLMs/NLP Data prep (doc to Q/A, cleaning, filters) for LLM fine-tuning Fine-tuning for custom languages/styles/tasks Support all GPU types, all LLM types (Falcon, Llam Contact Us | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Let us know how we can be of help Please enter your information and describe your inquiry, and we’ll get back to you as soon as possible. Get in touch with our sales team North America Sales sales@h2o.ai +1 (650) 227-4572 Asia Pacific Sales apacsales@h2o.ai +65 9230 2724 EMEA Sales emeasales@h2o.ai LATAM Sales latamsales@h2o.ai H2O.ai offices around the world Mountain View, CA 800 W. El Camino Real, Suite 270, Mountain View, CA 94040 Ottawa, Canada #500 1000 Innovation Dr Kanata, ON K2K 3E7 Kraków, Poland Street Opolska 110, 31-323 Kraków Prague, Czech Republic Thámova 16, 186 00 Karlín, Czechia Singapore 7 Temasek Blvd Level 32 Suntec Tower 1 Singapore, 038987 Colombo, Sri Lanka 25 Lauries Rd Colombo 00400, Sri Lanka Sydney, Australia Darling Park Tower 1 201 Sussex Street, Level 1, Sydney, NSW 2000, Australia Next Steps Join the Team Come join us to change the world in a meaningful way! Careers Become a Partner Learn how to become part of the H2O.ai partner network. Learn More Get Help with H2O.ai Discover more support services to help you succeed. Support Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Dell | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O.ai generative and predictive AI now validated on Dell AI Factory with NVIDIA On-premise and airgapped purpose-built AI applications for Dell customers H2O.ai is validated and pre-integrated into Dell AI Factory for ease of scale and deployment. Accelerate time to market for use case-driven AI applications with Multimodal RAG. Leverage private, protected data to fine-tune or retrieve-augment-generate (RAG) domain-specific LLMs for multi-agent intelligent systems. H2O.ai running on Dell AI Factory with NVIDIA Industry's first end-to-end enterprise AI solution to converge generative and predictive AI On-premise and airgapped purpose-built AI applications for Dell customers Agentic AI use private, protected data to fine-tune or apply retrieval-augmented generation (RAG) for domain-specific LLMs in multi-agent intelligent systems Reduce TCO with choice of on-premise or hybrid deployment of applications with DELL AI Factory Accelerate time to production with pre-integrated technologies End-to-end AI solution with use case development from exploration to inferencing H2O.ai ON DELL AI FACTORY USE CASE HIGHLIGHTS ProcurementGPT BUSINESS PROBLEMS One of the critical challenges in procurement is ensuring that contracts exchanged between organizations, such as banks and suppliers, are aligned and free from discrepancies. NEEDS Need efficient, reliable tools to review contracts, manage supplier relationships, and maintain regulatory compliance, where human oversight may overlook critical contractual clauses. Parse documents Identify sections Break down + identify requirements Requirements met Symmetry Select sections Parse documents into sections or clauses H2O Diff Tool automatically parses documents into their respective sections or clauses as they are loaded into the app. Identify most similar sections Retrieve the most similar sections, including their context, from the counterpart document. This works symmetrically, scanning both left-to-right and right-to-left. Break down a clause into requirements Each clause may contain multiple requirements that must be fulfilled for the clause to be satisfied. These requirements can be met in different parts of the contract. We break down each clause into its key requirements to determine where each one is fulfilled. Identify most similar requirements Similar to finding the most similar sections, we can retrieve the most similar requirements from the counterpart document to verify whether a requirement has been met or not. Find out which requirements were met A green tick to the left of a requirement indicates it was met; a red cross shows it wasn’t. The system uses the top 10 most similar requirements to determine if a requirement was met, displayed when the requirement is clicked. An overlay highlighting met requirements in green and unmet ones in red can be activated to help easily navigate to unmet requirements. Symmetry The functionality is symmetrical—what works for the left-to-right document comparison also works for right-to-left. This allows users to retrieve similar sections and requirements from either document as the base. Manually select sections If a section wasn’t correctly parsed or broken down into requirements, the user can manually select sections from both documents. The user first selects a section from the template document, then from the supplier document. Both sections are then broken down into requirements, and the system checks if the template's requirements were met by the supplier's section. Complaint Summarizer BUSINESS PROBLEMS Manual processing and analysis of customer complaints can lead to missed insights and delayed resolutions. A complaint summarizer addresses these challenges by automating sentiment analysis, identifying trends, distilling recurring themes, and prioritizing urgent issues with timely feedback. NEEDS Faster grievance resolution and effective regulatory response. Key metrics include faster resolution times, improved first-contact resolution, and accurate complaint classification and sentiment analysis. Benefits include reduced complaint volume, higher productivity, and cost savings through automation. RAG workflow Complaints by state Summarizer + topic extractor Summary + recommendation LLM Agent RAG workflow RAG (Retrieval-Augmented Generation) workflow for summarizing customer complaints across various categories and products. Complaint distribution by state Displays the breakdown of complaints by state, highlighting the most frequent issues like credit cards, debt collection, and loan services. Summary of complaints and key issues Provides a high-level summary of the most common complaints, the top issues faced, and recommended actions to address these concerns. Actionable insights from complaint summaries Summarizes key topics from complaints and proposes actionable recommendations for improving services. End-to-end LLM-powered complaint agent Showcases the comprehensive AI-driven process from voice-to-text conversion, complaint decision-making, and complaint summarization with proposed actionable recommendations for improving services. Enterprises are demanding AI solutions that are trustworthy, cost effective and purpose-built for domain specific use cases, and with H2O.ai, we’re delivering on that demand. The Dell AI Factory with NVIDIA and H2O.ai helps organizations deploy AI on-premises with unmatched control and cost efficiency.” Chad Dunn Vice President, Product Management, AI and Data Manageme Press Releases & News | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X H2O.ai Press Releases and News Check out the latest press releases and media buzz. Filter categories: ALL MEDIA Press Release News April 21, 2026 H2O.ai Showcases Safe, Secure, and Responsible AI Innovation for Government at Australian Government Data Summit 2026 Read more April 08, 2026 H2O.ai appoints Ingram Micro as Distributor for ANZ, Strengthening its AI Fulfilment Leadership Read more March 26, 2026 H2O.ai and CTC Global Singapore Have Partnered Together To Democratize Agentic AI Across APAC Read more March 17, 2026 H2O.ai Opens Nominations for the 2026 AI 100 Awards, Honoring the Most Influential Leaders in Artificial Intelligence Read more March 16, 2026 H2O.ai H2OVL Mississippi models Shatter Milestone with Over One Million downloads monthly - Launching Momentum into GTC 2026 Read more March 13, 2026 H2O.ai Partners with xAmplify, Australia’s Leading Sovereign AI Integrator, to Drive ANZ Expansion Read more March 03, 2026 AT&T and H2O.ai Celebrate Commercial Milestone for AI Feature Store, Deepen Work in Vertical AI Super Agents Read more January 21, 2026 H2O.ai Partners with Certis to Industrialise and Democratise AI for Security and Operations Read more January 14, 2026 H2O.ai Accredited by IMDA Singapore for Enterprise Generative AI Solutions Read more November 20, 2025 H2O.ai Appoints Jason Finney as President and Chief Revenue Officer to Accelerate Global Growth in Agentic, Secure, and Responsible AI Read more October 28, 2025 H2O.ai Brings NVIDIA Nemotron and NVIDIA NIM Microservices into Enterprise AI Read more October 23, 2025 UNSW AI Institute director Dr Sue Keay recognised on the 2025 H20 AI 100 list Read More LOAD MORE Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Awards | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Awards All All Award Wins Media Recognition Analyst Recognition LOADING... Load More Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Strategic AI Transformation | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOPERS Model Deployment & Monitoring H2O MLOps: Manage the full ML lifecycle from training to production Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases Low-Code App Framework H2O Wave: Build custom AI apps with Python and minimal code ABOUT COMPANY Why H2O Our Team Careers OUR VISION About Us AI4Conservation AI4Good PRESS News Press Releases Awards Gain expertise through engaging courses and gain certifications to thrive on your AI journey. LEARN MORE View open roles at H2O.ai OPEN ROLES H2O.ai is recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Cloud AI Developer Services. PARTNERS All Partners RESOURCES RESOURCES H2O University Wiki On-Demand Demos Research Papers Blog Security Bulletins Login to the support portal Connect with our experts for tailored enterprise support. GET HELP AI 100 Submit a 2026 candidate nomination form! View all 2025 winners! View all 2024 winners! REQUEST LIVE DEMO REQUEST LIVE DEMO SEARCH SIGN IN SIGN IN X Strategic Transformation Make Your Company An AI Company. Request a Demo Organizations around the world are exploring digital and strategic transformation initiatives to accelerate innovation. Three key components to achieving strategic transformation are leadership, technology and collaboration. Our leadership in automated machine learning and responsible AI is prominent across the H2O AI Cloud, which gives various users the ability to make, operate and innovate with AI. And we walk the AI transformation journey right alongside each of our customers, intrinsically driven by our mission to democratize AI so more people are empowered with the freedom to innovate. X Hear directly from our customers. The AI Transformation Panel at H2O World Sydney 2022 brings together business leaders and technology experts to share their knowledge and discuss trends on why AI will continue to play a critical role in driving business transformation. Watch Video How It Works Define Identify the opportunity and objectives being addressed. Evolve Use insights gained to determine next steps and opportunities for expansion. Enable Provide end users with intuitive front end applications to accelerate adoption. Experiment Rapidly test, document and evaluate various modeling approaches Integrate Merge solutions into existing architecture, systems and business processes. Strategic Transformation with the H2O AI Cloud The H2O AI Cloud serves as a catalyst for strategic transformation efforts, moving you from idea to impact with AI. Define The merging of leadership, technology and collaboration begins with your company’s larger purpose around transformation and the tangible objectives you want to explore in support of that purpose. We partner with you to solve complex business problems and accelerate the discovery of new ideas, including partnering with you to work on methodology, application, deployment or net new technology development. Experiment Our autoML supports rapid development and the ability to adapt and make adjustments quickly. Use your own Python scripts or choose from the many accelerators we provide for models, transformers and scorers. Champion model selection, feature engineering, hyperparameter autotuning, model validation and model documentation are all automated for you. And we have a massive open source community to provide support and guidance as well as some of the world’s top data scientists, Kaggle Grandmasters, to help in this phase as well. Learn More Integrate Merge your AI models and applications into existing business operations with our platform agnostic, distributed, extensible, and scalable architecture. Comprehensive machine learning operations support the deployment, monitoring and management of machine learning models in production. Customization is well supported with easy integration of your own transformers, recipes and models. Learn More Enable We lower the adoption barrier with the option to deliver machine learning capabilities through applications that can be accessed through the AI AppStore. These applications, and the AI AppStore itself, can easily be customized based on end user needs. The ability for all lines of business to access AI solutions from one central location streamlines expectations and experiences, while still offering the flexibility to meet unique needs across the company. Learn More Evolve With AI and machine learning capabilities built into the core of company operations, you create a dynamic organization capable of learning and adapting to real world needs with relevance and agility. You can develop new or improve existing plans and evolve your intelligence discovery and analysis process with new insights to make smarter decisions. Democratize AI across your organization. At every stage of making, operating and innovating with the H2O AI Cloud, there is an inherent goal of connecting users and stakeholders across teams to ensure machine learning models are accurately built, easily managed and ultimately delivering value to end users and lines of business. And when your organization is collectively working together to address organizational challenges with AI, you are well on your way to achieving strategic transformation. Explore the Platform Why H2O.ai About Us Team Press & News Careers Customers Contact Us Request Live Demo On-Demand Demos Products H2O AI Super Agent™ tabH2O Enterprise h2oGPTe Enterprise LLM Studio H2O AI Cloud H2O-3 Sparkling Water H2O Driverless AI H2O Document AI H2O Feature Store H2O Wave Resources H2O University Use Cases Resources Archive Documentation Downloads Events H2O.ai Brand Kit Security Bulletins Legal Trust Center H2O Wiki Managed Cloud Status Insights What is an AI Cloud? Strategic Transformation Democratizing AI Responsible AI AI Governance Be an AI Company AI 4 Good Sign up for our newsletter SIGN UP Copyright © 2026 H2O.ai. All rights reserved TERMS OF USE Privacy Policy Cookie Preferences × X H2O.ai logo 69x69 Don’t miss out Get the latest products updates, community events and other news. Google Cloud Platform | H2O.ai X Return to page SOLUTIONS SOLUTIONS Financial Services Telecommunications Public Sector US Federal Use Cases Case Studies CUSTOMER STORIES Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI. LEARN MORE PLATFORM AI AGENTS & DIGITAL ASSISTANTS Enterprise AI Agent h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations Fine-Tune Your Agent H2O LLM Studio: No-code training and tuning for efficient, enterprise-ready LLMs and SLMs BUSINESS INSIGHTS & PREDICTIVE AI AutoML Platform H2O Driverless AI: Accelerate model development with automatic feature engineering and explainability No-Code Deep Learning H2O Hydrogen Torch: Train image, text, and time-series models with prebuilt templates FOR MODEL BUILDERS Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models No-Code Fine-Tuning Studio H2O LLM Studio: Train custom LLMs and SLMs without code FOR DATA SCIENTISTS AI-Powered Labeling Label Genie: Faster annotations with smart suggestions Feature Engineering at Scale H2O Feature Store: Centralized and shareable feature repository Open-Source ML Platform H2O-3: Distributed machine learning for Python, R, and Spark FOR ENTERPRISE DEVELOP
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