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chai-research.com
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Schema: 34% COM · LIVE Minted: 2026-05-12 Visit Source ↗ manifest.json ↗
Entity Identity gdr-e3c05fea · minted 2026-05-12T18:24:59Z
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chai-research.com
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Latin dominant · moderate lexical diversity · mixed register · moderate clause complexity · narrow topic focus · moderate uncommon edge signal
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gdr-e3c05fea · v1.0.0 · Law III+V+VI
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Latin dominant · moderate lexical diversity · mixed register · moderate clause complexity · narrow topic focus · moderate uncommon edge signal
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Law I — Provenance · Law II — Temporal Attestation Visit chai-research.com ↗
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Title
CHAI | AI Characters & Stories
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1.4 EXAFLOP CLUSTER
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CHAI is the leading AI platform, performing research in conversational generative artificial intelligence
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INCENTIVES & SCALE
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1.4 EXAFLOPS GPU CLUSTER FOR AI INFERENCE
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BUILDING PLATFORM FOR SOCIAL AI
Full Extracted Text Corpus 24,930 chars · 3,987 words · 11 pages · Law I
Everything chai-research.com said about itself — extracted verbatim from 11 pages, 3,987 words total. No editorial layer. No inference. Law III — the text is the measurement. Meaning is the reader's. Minted: 2026-05-12T18:24:59Z
◈ Homepage — https://www.chai-research.com/NEWS JOBS 1.4 EXAFLOP CLUSTER Strategic Round II Complete: CHAI AI secured additional funding rounds, bringing its total investment to date to over $55M dollars to expand both compute and talent acquisition. READ MORE ROADMAP [ CHAI REVENUE GROWTH ] INCENTIVES & SCALE JOBS We have built a consumer platform where users can build their own AI characters and stories. Our B2C business has grown exponentially, reaching $70M/yr in revenue in 2026. OCT 2022 APR 2023 OCT 2023 APR 2024 OCT 2024 APR 2025 OCT 2025 FEB 2026 DEC 2025 2x 235B A22B Deployed We upgrade our production blend to incorporate 235B A22B Mixture-of-Experts models. Platform screentime and both revenue increased by 25%. Growth STAGE 0M+ FUNDING RAISED 0M+ ACTIVE USERS BACKED BY [ GPU CLUSTER ] 1.4 EXAFLOPS GPU CLUSTER FOR AI INFERENCE At CHAI, we serve hundreds of in-house trained LLMs across several GPU chip types from both AMD and Nvidia. While open-source solutions such as vLLM work well for simple workloads, we've found that we can further improve upon vLLM by almost an order of magnitude through several optimizations, such as custom kernels and compute-efficient attention approximations. NUMBER OF GPUS 5000 GPUs NUMBER OF TOKENS SERVED 1.2T Tokens / Day NUMBER OF UNIQUE LLMS SERVED 51K LLMs CLUSTER COMPUTE PERFORMANCE >1.4 Exaflops NVIDIA A100 NVIDIA L40S AMD Mi325x AMD Mi300x [ PRODUCT ] BUILDING PLATFORM FOR SOCIAL AI NEWS We believe in platforms. There is huge demand for AI that is not only factually correct but also entertaining and social. IOS ANDROID CHAI WEB Coming Soon... TRY CHAI ON iOS Android RESOURCES App EULA Privacy Policy Support Unsubscribe Safety COMPANY Wikipedia Careers Research Cluster Roadmap Contact SOCIALS LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © 2026 CHAI RESEARCH CORP. ALL RIGHTS RESERVED ◈ Interior Pages — 11 pages crawledCHAI AI Cluster | High-Performance Computing Infrastructure News Jobs News Jobs 1.4 EXAFLOP CLUSTER POWERING 1.2T TOKENS PER DAY 0K OPS PER SECOND 0K LLMS DEPLOYED 0T TOKENS PER DAY CHAI has seen demand for its AI models grow exponentially. This demand has exceeded the capacity and ability of off-the-shelf providers. Out of necessity, we have had to verticalize and bring inference in-house. Starting small with a cluster of A5000s rented on-demand from CoreWeave in 2023, we've grown to a cluster size of thousands of GPUs, spread across 4 regions. Multi-region inference has challenges and has brought CHAI to the cutting edge of technology. TOKENS PROCESSED PER DAY 8.1T 1.2T 1.2T 0.8T 0.4T 0.3T 0.1T [ GPU Cluster ] 1.4 EXAFLOPS GPU CLUSTER FOR AI INFERENCE At CHAI, we serve hundreds of in-house trained LLMs across several GPU chip types from both AMD and Nvidia. While open-source solutions such as vLLM work well for simple workloads, we've found that we can further improve upon vLLM by almost an order of magnitude through several optimizations, such as custom kernels and compute-efficient attention approximations. NUMBER OF GPUS 5000 GPUs NUMBER OF TOKENS SERVED 1.2T Tokens / Day NUMBER OF UNIQUE LLMS SERVED 51K LLMs CLUSTER COMPUTE PERFORMANCE >1.4 Exaflops NVIDIA A100 NVIDIA L40S AMD Mi325x AMD Mi300x Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED CHAI News | Latest Updates & Research News Jobs News Jobs [ WHAT'S NEW ] LATEST NEWS Read about our latest product and research announcements JULY 2, 2025 CHAI Completes Strategic Round II CHAI AI secured additional funding rounds, bringing its total investment to date to over $55M dollars to expand both compute and talent acquisition. VIEW STRATEGIC ROUND II PODCAST CHAI x Latent Space Podcast CHAI's founder & CEO William Beauchamp shares his journey from quant trader to building an AI platform. JAN 27, 2025 VIEW RESEARCH Blending is All You Need Our latest research on novel blending techniques for large language models shows 30% improvement in user retention. JAN 03, 2024 VIEW TALK Making a Good LLM - CHAI RLHF Development Cycle Our AI Researcher talks about the development cycle of our RLHF models, optimizing for user retention. NOV 19, 2024 VIEW RESEARCH Reward Modelling for Real-World Engagement with Millions of Users Reward signals are key to the success of RLHF models. We share our learnings from building a model for real-world engagement. AUG 8, 2023 VIEW NEWS Strategic Round II Complete CHAI AI secured additional funding rounds, bringing its total investment to date to over $55M to expand both compute and talent acquisition. JUL 2, 2025 VIEW PODCAST CHAI x Machine Learning Street Talk Our Founder & CEO William Beauchamp talks with Tim from MLST on building an AI startup and hiring a team of hardcore researchers & engineers. JAN 8, 2024 VIEW Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED CHAI AI Jobs | Careers in Palo Alto News Jobs News Jobs Hiring in Palo Alto Fast growing, High Revenue, Gen AI. Interview process Please send your resume to [email protected] . Overview We run a fast process — an offer can be given within 7 days of first contact. We have no leetcode, behavioural interviews, or design interviews. Assessments are done via take-home and onsite coding challenges, both of which are project-based to reflect an engineer's or researcher's daily work at CHAI. Step 1 Initial chat We do not use recruiters for screening. Instead, an engineer or our founder will have a 20-minute initial video call with you. Step 2 Personality assessment We'll send you a personality assessment to understand you better. This is the one we use . Step 3 Take home challenge We'll send you a short take home challenge that typically takes 60-90 minutes to complete. Step 4 Onsite interview You'll be invited onsite to meet the team and complete the second half of the take home. Step 5 Offer CHAI offers are all-cash. We will offer at least 1.5x over existing TC for all candidates. For example, an SDE II on $300k will get an offer of at least $450k/year salary + cash bonus. Who we are NEWS Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED CHAI AI Research | Conversational AI & LLM Development News Jobs News Jobs Applied Research At CHAI, all of our growth is driven by better AI. Optimize CHAI AI's research focus is on applying proven techniques such as RLHF, SFT, Prompt Engineering, Rejection Sampling, and LLM routing. We iterate across various algorithms such as DPO, LoRA, training reward models, and embeddings to build recommender systems. Only by making the AI better do we see an increase in metrics such as monetization and engagement. Scale It is well-known that scaling up LLMs improves their performance. There are many dimensions to this scale. For example: parameters, dataset size, inference compute, context length, and the number of LLMs served. This creates an engineering challenge. Firstly, scaling up tends to increase costs; this drives us to experiment with techniques such as quantization, custom CUDA kernels, Flash Attention and KV-Caching. Secondly, at a certain scale, out-of-the-box solutions tend to breakdown. This drives us to build our own custom implementations such as our own self-managed Kubernetes cluster or inference engines. Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED Unsubscribe News Jobs News Jobs Strategic Round II Complete | CHAI Funding Announcement News Jobs News Jobs JULY 2, 2025 CHAI SECURES INVESTMENT CHAI AI secured additional rounds of funding, bringing its total investment to date to over $55M. CHAI’s investors include individual investors such as Ken Howery and Bill Elmore, along with AI companies CoreWeave and AMD CHAI's progress is accelerating rapidly. We have secured additional rounds of funding, bringing our total investment to date to over $55M. Our investors include individual investors such as Ken Howery and Bill Elmore, along with AI companies CoreWeave and AMD. With a mission to build a platform for user-generated AI (UGAI), CHAI was the first to enter the UGAI space, launching in 2021 and hitting 1 million users in early 2022, preceding both ChatGPT and Character AI. As of 2025, CHAI has continued its growth and now serves over 10M users and is one of the most valuable private AI startups in Silicon Valley. With its office in Palo Alto and a lean team of 11 engineers, it has an ARR of $40M. "This investment will be spent on doubling the amount of compute per user, empowering us to serve cutting-edge AI to our users." — William Beauchamp, Founder Since our Strategic Round I in January 2024, CHAI has made significant technical progress and rapidly expanded its user base including: Revenue Growth: CHAI has doubled its annualized revenue from $20M to $40M; with improved monetization strategies, we are able to reinvest earnings into our compute infrastructure and talent acquisition. Active User Growth: our Daily Active Users have grown from 800K to 2M while average session time increased from 60 to 90 minutes per active session, surpassing traditional social media platforms such as Youtube and Instagram. Infrastructure Scale: we have quadrupled our GPU cluster capacity to serve over 1.2 trillion tokens per day, enabling us to support our growing user base while enabling researchers to rapidly iterate on new model architectures via fast deployment and AB testing to existing users. CHAI 10x24B Blended Model: our proprietary ensemble approach combining multiple specialized 24B parameter models delivers over 60% user engagement improvement compared to GPT4o. Model Mesh: our custom inference service orchestration platform built to support our growing user base and compute cluster. Enabling us to serve over 10K requests per second across different GPU providers and model architectures. CHAI is expanding rapidly and seeks Engineers and Researchers possessing high levels of craftsmanship ready to join an elite engineering team of the highest talent density that is focused on building the future of Social AI. Those interested can apply today at chai-research.com/jobs . Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED CHAI AI Jobs | Careers in Palo Alto News Jobs News Jobs Hiring in Palo Alto Fast growing, High Revenue, Gen AI. Interview process Please send your resume to [email protected] . Overview We run a fast process — an offer can be given within 7 days of first contact. We have no leetcode, behavioural interviews, or design interviews. Assessments are done via take-home and onsite coding challenges, both of which are project-based to reflect an engineer's or researcher's daily work at CHAI. Step 1 Initial chat We do not use recruiters for screening. Instead, an engineer or our founder will have a 20-minute initial video call with you. Step 2 Personality assessment We'll send you a personality assessment to understand you better. This is the one we use . Step 3 Take home challenge We'll send you a short take home challenge that typically takes 60-90 minutes to complete. Step 4 Onsite interview You'll be invited onsite to meet the team and complete the second half of the take home. Step 5 Offer CHAI offers are all-cash. We will offer at least 1.5x over existing TC for all candidates. For example, an SDE II on $300k will get an offer of at least $450k/year salary + cash bonus. Who we are NEWS Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED Safety Center | CHAI CHAI Safety Center Urgent Help and Support Services If you are feeling distressed, unsafe, or need someone to talk to, free and confidential help is available right now. Find verified crisis support services in your country: Find a Helpline → Free, verified crisis helplines in 175+ countries. Available 24/7 via phone, chat, and text. If you or someone you know is in immediate danger , call your local emergency number (e.g. 000 in Australia, 911 in the US, 999 in the UK). CHAI — Safety Center Welcome to the CHAI Safety Center. Your safety and well-being are our top priorities. This page provides important information on how to stay safe on our platform, what content is not allowed, and where to get help if you need it. What is Not Allowed on CHAI? We have strict rules to protect our community. Our End User License Agreement outlines in detail what content and behaviour is prohibited on CHAI. Read our End User License Agreement → Tools to Keep You Safe If you see something that breaks our rules or makes you feel uncomfortable, you have the power to stop it: Reporting You can report any AI character or message directly within the app. Your reports are completely anonymous — the person who created the character will not know you reported them. Safety Filters You can enable safety filters in your settings to filter out mature content, blur explicit images, or block specific characters from your feed. Self-Harm Prevention Protocol CHAI maintains the following protocol to prevent the production of self-harm content on our platform: Real-Time Message Scanning Every user message is scanned in real time for self-harm content. When such content is detected, the system either refuses to generate a response or replaces it with a safer alternative that does not reinforce or encourage harmful behaviour. Crisis Resource Notification When a user expresses self-harm intent, CHAI provides a notification referring the user to crisis service providers. For Australians: The eSafety Commissioner The eSafety Commissioner is Australia's independent regulator for online safety. Their job is to help protect Australians from severe online abuse and illegal content. If you have reported a serious safety issue to us and you believe we have not resolved it properly, or if you want to make a complaint about our safety compliance, you have the right to escalate your complaint to the eSafety Commissioner. Contact Us If you have safety concerns or questions about this page, you can reach our safety team: Email: [email protected] © Chai Research Corp. All rights reserved. EULA Home CHAI END USER LICENSE AGREEMENT CHAI END USER LICENSE AGREEMENT END USER LICENSE AGREEMENT Last updated March 10, 2026 Chai is licensed to You (End-User) by Chai Research Corp. , located and registered at 555 Hamilton Avenue, Suite 300 , Palo Alto , California 94301 , United States ( " Licensor " ) , for use only under the terms of this License Agreement. By downloading the Licensed Application from Apple's software distribution platform ( "App Store" ) and Google's software distribution platform ( "Play Store" ) , and any update thereto (as permitted by this License Agreement), You indicate that You agree to be bound by all of the terms and conditions of this License Agreement, and that You accept this License Agreement. App Store and Play Store are referred to in this License Agreement as " Services ." The parties of this License Agreement acknowledge that the Services are not a Party to this License Agreement and are not bound by any provisions or obligations with regard to the Licensed Application, such as warranty, liability, maintenance and support thereof. Chai Research Corp. , not the Services, is solely responsible for the Licensed Application and the content thereof. This License Agreement may not provide for usage rules for the Licensed Application that are in conflict with the latest Apple Media Services Terms and Conditions and Google Play Terms of Service ( " Usage Rules " ). Chai Research Corp. acknowledges that it had the opportunity to review the Usage Rules and this License Agreement is not conflicting with them. Chai when purchased or downloaded through the Services, is licensed to You for use only under the terms of this License Agreement. The Licensor reserves all rights not expressly granted to You. Chai is to be used on devices that operate with Apple's operating systems ( "iOS" and "Mac OS" ) or Google's operating system ( "Android" ) . TABLE OF CONTENTS 1. THE APPLICATION 2. SCOPE OF LICENSE 3. TECHNICAL REQUIREMENTS 4. NO MAINTENANCE AND SUPPORT 5. USE OF DATA 6. USER-GENERATED CONTRIBUTIONS 7. ACCEPTABLE USE AND CONTENT POLICY 8. AGE REQUIREMENTS 9. SAFETY CENTER AND REPORTING 10. CONTRIBUTION LICENSE 11. LIABILITY 12. WARRANTY 13. PRODUCT CLAIMS 14. LEGAL COMPLIANCE 15. CONTACT INFORMATION 16. TERMINATION 17. THIRD-PARTY TERMS OF AGREEMENTS AND BENEFICIARY 18. INTELLECTUAL PROPERTY RIGHTS 19. APPLICABLE LAW 20. MISCELLANEOUS 1. THE APPLICATION Chai ( " Licensed Application " ) is a piece of software created to Provide an AI chatbot experience — and customized for iOS and Android mobile devices ( " Devices " ). It is used to Send messages to AI bots . The Licensed Application is not tailored to comply with industry-specific regulations (Health Insurance Portability and Accountability Act (HIPAA), Federal Information Security Management Act (FISMA), etc.), so if your interactions would be subjected to such laws, you may not use this Licensed Application. You may not use the Licensed Application in a way that would violate the Gramm-Leach-Bliley Act (GLBA). 2. SCOPE OF LICENSE 2.1 You are given a non-transferable, non-exclusive, non-sublicensable license to install and use the Licensed Application on any Devices that You (End-User) own or control and as permitted by the Usage Rules, with the exception that such Licensed Application may be accessed and used by other accounts associated with You (End-User, The Purchaser) via Family Sharing or volume purchasing. 2.2 This license will also govern any updates of the Licensed Application provided by Licensor that replace, repair, and/or supplement the first Licensed Application, unless a separate license is provided for such update, in which case the terms of that new license will govern. 2.3 You may not share or make the Licensed Application available to third parties (unless to the degree allowed by the Usage Rules, and with Chai Research Corp. 's prior written consent), sell, rent, lend, lease or otherwise redistribute the Licensed Application. 2.4 You may not reverse engineer, translate, disassemble, integrate, decompile, remove, modify, combine, create derivative works or updates of, adapt, or attempt to derive the source code of the Licensed Application, or any part thereof (except with Chai Research Corp. 's prior written consent). 2.5 You may not copy (excluding when expressly authorized by this license and the Usage Rules) or alter the Licensed Application or portions thereof. You may create and store copies only on devices that You own or control for backup keeping under the terms of this license , the Usage Rules, and any other terms and conditions that apply to the device or software used. You may not remove any intellectual property notices. You acknowledge that no unauthorized third parties may gain access to these copies at any time. If you sell your Devices to a third party, you must remove the Licensed Application from the Devices before doing so. 2.6 Violations of the obligations mentioned above, as well as the attempt of such infringement, may be subject to prosecution and damages. 2.7 Licensor reserves the right to modify the terms and conditions of licensing. 2.8 Nothing in this license should be interpreted to restrict third-party terms. When using the Licensed Application, You must ensure that You comply with applicable third-party terms and conditions. 3. TECHNICAL REQUIREMENTS 3.1 Licensor attempts to keep the Licensed Application updated so that it complies with modified/new versions of the firmware and new hardware. You are not granted rights to claim such an update. 3.2 You acknowledge that it is Your responsibility to confirm and determine that the app end-user device on which You intend to use the Licensed Application satisfies the technical specifications mentioned above. 3.3 Licensor reserves the right to modify the technical specifications as it sees appropriate at any time. 4. NO MAINTENANCE OR SUPPORT 4.1 Chai Research Corp. is not obligated, expressed or implied, to provide any maintenance, technical or other support for the Licensed Application. 4.2 Chai Research Corp. and the End-User acknowledge that the Services have no obligation whatsoever to furnish any maintenance and support services with respect to the Licensed Application. 5. USE OF DATA You acknowledge that Licensor will be able to access and adjust Your downloaded Licensed Application content and Your personal information, and that Licensor's use of such material and information is subject to Your legal agreements with Licensor and Licensor's privacy policy : http://chai.ml/privacy . You acknowledge that the Licensor may periodically collect and use technical data and related information about your device, system, and application software, and peripherals, offer product support, facilitate the software updates, and for purposes of providing other services to you (if any) related to the Licensed Application. Licensor may also use this information to improve its products or to provide services or technologies to you, as long as it is in a form that does not personally identify you. 6. USER-GENERATED CONTRIBUTIONS The Licensed Application may invite you to chat, contribute to, or participate in blogs, message boards, online forums, and other functionality, and may provide you with the opportunity to create, submit, post, display, transmit, perform, publish, distribute, or broadcast content and materials to us or in the Licensed Application, including but not limited to text, writings, video, audio, photographs, graphics, comments, suggestions, or personal information or other material (collectively, "Contributions" ). Contributions may be viewable by other users of the Licensed Application and through third-party websites or applications. As such, any Contributions you transmit may be treated as non-confidential and non-proprietary. When you create or make available any Contributions, you thereby represent and warrant that: 1. The creation, distribution, transmission, public display, CHAI Privacy Policy CHAI News | Latest Updates & Research News Jobs News Jobs [ WHAT'S NEW ] LATEST NEWS Read about our latest product and research announcements JULY 2, 2025 CHAI Completes Strategic Round II CHAI AI secured additional funding rounds, bringing its total investment to date to over $55M dollars to expand both compute and talent acquisition. VIEW STRATEGIC ROUND II PODCAST CHAI x Latent Space Podcast CHAI's founder & CEO William Beauchamp shares his journey from quant trader to building an AI platform. JAN 27, 2025 VIEW RESEARCH Blending is All You Need Our latest research on novel blending techniques for large language models shows 30% improvement in user retention. JAN 03, 2024 VIEW TALK Making a Good LLM - CHAI RLHF Development Cycle Our AI Researcher talks about the development cycle of our RLHF models, optimizing for user retention. NOV 19, 2024 VIEW RESEARCH Reward Modelling for Real-World Engagement with Millions of Users Reward signals are key to the success of RLHF models. We share our learnings from building a model for real-world engagement. AUG 8, 2023 VIEW NEWS Strategic Round II Complete CHAI AI secured additional funding rounds, bringing its total investment to date to over $55M to expand both compute and talent acquisition. JUL 2, 2025 VIEW PODCAST CHAI x Machine Learning Street Talk Our Founder & CEO William Beauchamp talks with Tim from MLST on building an AI startup and hiring a team of hardcore researchers & engineers. JAN 8, 2024 VIEW Try Chai On iOS Android Resources App EULA Privacy Policy Support Unsubscribe Safety Company Wikipedia Careers Research Cluster Roadmap Contact Socials LinkedIn X (Twitter) Reddit YouTube Hugging Face Facebook Instagram © CHAI RESEARCH CORP. ALL RIGHTS RESERVED
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    "https://globaldataregistry.com/registry/schema/ledger/listitem",
    "https://globaldataregistry.com/registry/schema/ledger/website",
    "https://globaldataregistry.com/registry/schema/ledger/searchaction",
    "https://globaldataregistry.com/registry/schema/ledger/itemlist",
    "https://globaldataregistry.com/registry/schema/ledger/sitenavigationelement"
  ],
  "native_text_sample": "NEWS\nJOBS\n1.4 EXAFLOP CLUSTER\n\nStrategic Round II Complete: CHAI AI secured additional funding rounds, bringing its total investment to date to over $55M dollars to expand both compute and talent acquisition.\n\nREAD MORE\nROADMAP\n[ CHAI REVENUE GROWTH ]\nINCENTIVES & SCALE\nJOBS\n\nWe have built a consumer platform where users can build their own AI characters and stories. Our B2C business has grown exponentially, reaching $70M/yr in revenue in 2026.\n\nOCT 2022\nAPR 2023\nOCT 2023\nAPR 2024\nOCT 2024\nAPR 2",
  "topology_fingerprint_version": "1.0.0"
}
Layer 3 — Recursive · Empty at mint. Grows forever through accumulated corpus passes. Common edges (Law V), uncommon edges (Law VI), topology cluster scores. The graph builds itself. Law VII — Torus.
rld:recursive — edge_count=0
{
  "edges": [],
  "appended_at": [],
  "edge_count": 0
}
Root-LD v1.0 · root-ld.org · Law I+II+VII root-ld.org ↗
Schema.org Intelligence scored · graph traversal · Law VI negative space
34% coverage · 7 types · 15 props · 72 gaps · click to expand
34%
Schema Utilization Score
PARTIAL COVERAGE — GAPS IDENTIFIED
schema.org v2.0.0 · 15 props extracted · 72 gaps · https://www.chai-research.com/
ThingOrganizationBreadcrumbListListItemWebSiteSearchAction
◈ Schema Graph — Three-Direction Traversal
Declared: Organization · BreadcrumbList · ListItem · WebSite · SearchAction · ItemList · SiteNavigationElement
✓ Implemented
nameownCHAI
urlownhttps://www.chai-research.com
imageownhttps://www.chai-research.com/images/chai-logo.svg
logoownhttps://www.chai-research.com/images/chai-logo.svg
sameAsownhttps://www.twitter.com/chai_research (+4 more)
descriptionownCHAI is the leading AI platform, performing research in conversational generative artificial intelligence
alternateNameownCHAI AI
locationownPalo Alto, CA
itemListElementownHome
positionown1
itemownhttps://www.chai-research.com
potentialActionown[SearchAction]
mainEntityownMain Site Navigation
targetownhttps://www.chai-research.com/?q={search_term_string}
query-inputownrequired name=search_term_string
✗ Not Implemented / Gap
emailgap
numberOfEmployeesgap
openingHoursgap
contactPointgap
slogangap
keywordsgap
aggregateRatinggap
identifiergap
geogap
addressgap
areaServedgap
hasOfferCataloggap
priceRangegap
knowsAboutgap
foundingDategap
legalNamegap
telephonegap
fundinggap
employeegap
diversityStaffingReportgap
fundergap
leiCodegap
knowsLanguagegap
brandgap
skillsgap
naicsgap
foundergap
hasMerchantReturnPolicygap
parentOrganizationgap
globalLocationNumbergap
reviewgap
Thingancestor +1schema.org/Thing ↗7/13 (53%)
The most generic type of item.
sameAsnamepotentialActiondescriptionalternateNameurlimage
additionalTypeidentifierownersubjectOfmainEntityOfPagedisambiguatingDescription
CreativeWorksibling via Thingschema.org/CreativeWork ↗102 exclusive
The most generic kind of creative work, including books, movies, photographs, software programs, etc.
providergenrewordCountaccessModeSufficientacquireLicensePagetemporalCoveragepublisherthumbnail
Productsibling via Thingschema.org/Product ↗46 exclusive
Any offered product or service. For example: a pair of shoes; a concert ticket; the rental of a car; a haircut; or an episode of a TV show streamed online.
hasMeasurementweightheightdisplayLocationgtingtin12isRelatedToproductID
Eventsibling via Thingschema.org/Event ↗33 exclusive
An event happening at a certain time and location, such as a concert, lecture, or festival. Ticketing information may be added via the [[offers]] property. Repe
durationendDateeventAttendanceModeactormaximumVirtualAttendeeCapacitysuperEventoffersrecordedIn
Personsibling via Thingschema.org/Person ↗33 exclusive
A person (alive, dead, undead, or fictional).
honorificPrefixweightheightgenderpronounsdeathDateaffiliationchildren
Placesibling via Thingschema.org/Place ↗28 exclusive
Entities that have a somewhat fixed, physical extension.
geoCoversspecialOpeningHoursSpecificationpublicAccesssmokingAllowedgeoOverlapslatitudeopeningHoursSpecificationgeoContains
Actionsibling via Thingschema.org/Action ↗12 exclusive
An action performed by a direct agent and indirect participants upon a direct object. Optionally happens at a location with the help of an inanimate instrument.
providerresultactionProcessstartTimeobjectactionStatusagentinstrument
MedicalEntitysibling via Thingschema.org/MedicalEntity ↗7 exclusive
The most generic type of entity related to health and the practice of medicine.
relevantSpecialtystudycodelegalStatusrecognizingAuthorityguidelinemedicineSystem
Intangiblesibling via Thingschema.org/Intangible ↗0 exclusive
A utility class that serves as the umbrella for a number of 'intangible' things such as quantities, structured values, etc.
LocalBusinesschild / upgradeschema.org/LocalBusiness ↗+32 props
A particular physical business or branch of an organization. Examples of LocalBusiness include a restaurant, a particular branch of a restaurant chain, a branch
additionalPropertyamenityFeaturebranchCodecontainedInPlacecontainsPlacecurrenciesAcceptedgeogeoContains
EducationalOrganizationchild / upgradeschema.org/EducationalOrganization ↗+29 props
An educational organization.
additionalPropertyamenityFeaturebranchCodecontainedInPlacecontainsPlacegeogeoContainsgeoCoveredBy
NewsMediaOrganizationchild / upgradeschema.org/NewsMediaOrganization ↗+4 props
A News/Media organization such as a newspaper or TV station.
mastheadmissionCoveragePrioritiesPolicynoBylinesPolicyverificationFactCheckingPolicy
MedicalOrganizationchild / upgradeschema.org/MedicalOrganization ↗+3 props
A medical organization (physical or not), such as hospital, institution or clinic.
healthPlanNetworkIdisAcceptingNewPatientsmedicalSpecialty
Airlinechild / upgradeschema.org/Airline ↗+2 props
An organization that provides flights for passengers.
boardingPolicyiataCode
Corporationchild / upgradeschema.org/Corporation ↗+1 props
Organization: A business corporation.
tickerSymbol
SportsOrganizationchild / upgradeschema.org/SportsOrganization ↗+1 props
Represents the collection of all sports organizations, including sports teams, governing bodies, and sports associations.
sport
NGOchild / upgradeschema.org/NGO ↗+0 props
Organization: Non-governmental Organization.
GovernmentOrganizationchild / upgradeschema.org/GovernmentOrganization ↗+0 props
A governmental organization or agency.
FundingSchemechild / upgradeschema.org/FundingScheme ↗+0 props
A FundingScheme combines organizational, project and policy aspects of grant-based funding that sets guidelines, principles and mechanisms to support other
PoliticalPartychild / upgradeschema.org/PoliticalParty ↗+0 props
Organization: Political Party.
OnlineBusinesschild / upgradeschema.org/OnlineBusiness ↗+0 props
A particular online business, either standalone or the online part of a broader organization. Examples include an eCommerce site, an online travel booking site,
◈ Structural Negative Type Space — Constitutional Law VI
◈ Action Branch

No structural connection to the Action branch. Graph position measurement. schema.org/Action ↗ · Law III — meaning is yours.

◈ BioChemEntity Branch

No structural connection to the BioChemEntity branch. Graph position measurement. schema.org/BioChemEntity ↗ · Law III — meaning is yours.

◈ CreativeWork Branch

No structural connection to the CreativeWork branch. Graph position measurement. schema.org/CreativeWork ↗ · Law III — meaning is yours.

◈ Event Branch

No structural connection to the Event branch. Graph position measurement. schema.org/Event ↗ · Law III — meaning is yours.

◈ Intangible Branch

No structural connection to the Intangible branch. Graph position measurement. schema.org/Intangible ↗ · Law III — meaning is yours.

◈ MedicalEntity Branch

No structural connection to the MedicalEntity branch. Graph position measurement. schema.org/MedicalEntity ↗ · Law III — meaning is yours.

◈ Person Branch

No structural connection to the Person branch. Graph position measurement. schema.org/Person ↗ · Law III — meaning is yours.

◈ Place Branch

No structural connection to the Place branch. Graph position measurement. schema.org/Place ↗ · Law III — meaning is yours.

◈ Product Branch

No structural connection to the Product branch. Graph position measurement. schema.org/Product ↗ · Law III — meaning is yours.

◈ Taxon Branch

No structural connection to the Taxon branch. Graph position measurement. schema.org/Taxon ↗ · Law III — meaning is yours.

◈ Gap List (72 properties unmapped)
fundingknowsAboutemployeefoundingDatediversityStaffingReportkeywordssloganfunderaggregateRatingleiCodeknowsLanguagebrandskillsnaicsfounderhasMerchantReturnPolicyparentOrganizationareaServedglobalLocationNumberrevieweventinteractionStatisticlegalNameaddressmemberOfactionableFeedbackPolicycontactPointethicsPolicyhasCertificationnumberOfEmployees
+42 more gaps not shown
◈ Source Schema.org — Raw Extraction (13 blocks)
Block 1 · @type: Organization
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "image": "https://www.chai-research.com/images/chai-logo.svg",
  "logo": "https://www.chai-research.com/images/chai-logo.svg",
  "sameAs": [
    "https://www.twitter.com/chai_research",
    "https://www.linkedin.com/company/chai-research",
    "https://www.huggingface.co/ChaiML",
    "https://www.instagram.com/chairesearch/",
    "https://www.github.com/chai-research"
  ],
  "description": "CHAI is the leading AI platform, performing research in conversational generative artificial intelligence",
  "alternateName": "CHAI AI",
  "location": "Palo Alto, CA"
}
◈ Source: https://www.chai-research.com/ · Law I — Provenance
Block 2 · @type: BreadcrumbList
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://www.chai-research.com"
    }
  ]
}
◈ Source: https://www.chai-research.com/ · Law I — Provenance
Block 3 · @type: WebSite
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://www.chai-research.com/?q={search_term_string}",
    "query-input": "required name=search_term_string"
  },
  "mainEntity": {
    "@type": "ItemList",
    "name": "Main Site Navigation",
    "itemListElement": [
      {
        "@type": "SiteNavigationElement",
        "position": 1,
        "name": "Jobs",
        "description": "Career opportunities at CHAI - hiring in Palo Alto for AI research roles",
        "url": "https://www.chai-research.com/jobs/"
      },
      {
        "@type": "SiteNavigationElement",
        "position": 2,
        "name": "Research",
        "description": "Applied research in conversational AI, RLHF, and LLM optimization",
        "url": "https://www.chai-research.com/research"
      },
      {
        "@type": "SiteNavigationElement",
        "position": 3,
        "name": "2026 Roadmap",
        "description": "CHAI's strategic roadmap and vision for 2026",
        "url": "https://www.chai-research.com/chai_roadmap_2026.pdf"
      }
    ]
  }
}
◈ Source: https://www.chai-research.com/ · Law I — Provenance
Block 4 · @type: Organization
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "image": "https://www.chai-research.com/images/chai-logo.svg",
  "logo": "https://www.chai-research.com/images/chai-logo.svg",
  "sameAs": [
    "https://www.twitter.com/chai_research",
    "https://www.linkedin.com/company/chai-research",
    "https://www.huggingface.co/ChaiML",
    "https://www.instagram.com/chairesearch/",
    "https://www.github.com/chai-research"
  ],
  "description": "At CHAI AI, our compute cluster enables cutting-edge AI research and development.",
  "alternateName": "CHAI AI",
  "location": "Palo Alto, CA"
}
◈ Source: https://www.chai-research.com/cluster · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 5 · @type: BreadcrumbList
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://www.chai-research.com"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Cluster",
      "item": "https://www.chai-research.com/cluster"
    }
  ]
}
◈ Source: https://www.chai-research.com/cluster · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 6 · @type: Organization
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "image": "https://www.chai-research.com/images/chai-logo.svg",
  "logo": "https://www.chai-research.com/images/chai-logo.svg",
  "sameAs": [
    "https://www.twitter.com/chai_research",
    "https://www.linkedin.com/company/chai-research",
    "https://www.huggingface.co/ChaiML",
    "https://www.instagram.com/chairesearch/",
    "https://www.github.com/chai-research"
  ],
  "description": "Stay updated with the latest news, research breakthroughs, and announcements from CHAI AI.",
  "alternateName": "CHAI AI",
  "location": "Palo Alto, CA"
}
◈ Source: https://www.chai-research.com/news/ · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 7 · @type: BreadcrumbList
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://www.chai-research.com"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "News",
      "item": "https://www.chai-research.com/news"
    }
  ]
}
◈ Source: https://www.chai-research.com/news/ · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 8 · @type: Organization
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "image": "https://www.chai-research.com/images/chai-logo.svg",
  "logo": "https://www.chai-research.com/images/chai-logo.svg",
  "sameAs": [
    "https://www.twitter.com/chai_research",
    "https://www.linkedin.com/company/chai-research",
    "https://www.huggingface.co/ChaiML",
    "https://www.instagram.com/chairesearch/",
    "https://www.github.com/chai-research"
  ],
  "description": "CHAI is an AI company in Palo Alto. We are building the leading platform for conversational generative artificial intelligence.",
  "alternateName": "CHAI AI",
  "location": "Palo Alto, CA"
}
◈ Source: https://www.chai-research.com/jobs/ · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 9 · @type: BreadcrumbList
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://www.chai-research.com"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Jobs",
      "item": "https://www.chai-research.com/jobs/"
    }
  ]
}
◈ Source: https://www.chai-research.com/jobs/ · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 10 · @type: Organization
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "image": "https://www.chai-research.com/images/chai-logo.svg",
  "logo": "https://www.chai-research.com/images/chai-logo.svg",
  "sameAs": [
    "https://www.twitter.com/chai_research",
    "https://www.linkedin.com/company/chai-research",
    "https://www.huggingface.co/ChaiML",
    "https://www.instagram.com/chairesearch/",
    "https://www.github.com/chai-research"
  ],
  "description": "At CHAI AI, all of our growth is driven by better AI.",
  "alternateName": "CHAI AI",
  "location": "Palo Alto, CA"
}
◈ Source: https://www.chai-research.com/research · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 11 · @type: BreadcrumbList
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://www.chai-research.com"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Research",
      "item": "https://www.chai-research.com/research"
    }
  ]
}
◈ Source: https://www.chai-research.com/research · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 12 · @type: Organization
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "CHAI",
  "url": "https://www.chai-research.com",
  "image": "https://www.chai-research.com/images/chai-logo.svg",
  "logo": "https://www.chai-research.com/images/chai-logo.svg",
  "sameAs": [
    "https://www.twitter.com/chai_research",
    "https://www.linkedin.com/company/chai-research",
    "https://www.huggingface.co/ChaiML",
    "https://www.instagram.com/chairesearch/",
    "https://www.github.com/chai-research"
  ],
  "description": "CHAI total funding exceeds $55 million dollars following the completion of Strategic Round II.",
  "alternateName": "CHAI AI",
  "location": "Palo Alto, CA"
}
◈ Source: https://www.chai-research.com/announcement/ · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
Block 13 · @type: BreadcrumbList
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://www.chai-research.com"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Announcement",
      "item": "https://www.chai-research.com/announcement"
    }
  ]
}
◈ Source: https://www.chai-research.com/announcement/ · Fetched: 2026-05-12T18:25:03Z · Law I — Provenance
schema.org v2.0.0 · source: https://www.chai-research.com/ schema.org/Organization ↗
Semantic Words 40 words · frequency ranked · Law III
40 words · top 5: chai · research · application · licensed · news · click to expand
Top 40 words by frequency from https://www.chai-research.com/ + 11 interior pages (3,690 words total). Stop-words stripped. Ranked by repetition.
#1chai88x · 4.17%
#2research41x · 1.94%
#3application30x · 1.42%
#4licensed29x · 1.37%
#5news26x · 1.23%
#6user26x · 1.23%
#7license25x · 1.18%
#8cluster22x · 1.04%
#9jobs21x · 1.0%
#10safety21x · 1.0%
#11support18x · 0.85%
#12agreement15x · 0.71%
#13compute13x · 0.62%
#14app12x · 0.57%
#15licensor12x · 0.57%
#16platform11x · 0.52%
#17ios11x · 0.52%
#18android11x · 0.52%
#19services11x · 0.52%
#20users10x · 0.47%
#21models10x · 0.47%
#22careers10x · 0.47%
#23step10x · 0.47%
#24end10x · 0.47%
#25strategic9x · 0.43%
#26round9x · 0.43%
#27funding9x · 0.43%
#28investment9x · 0.43%
#29roadmap9x · 0.43%
#30llms9x · 0.43%
#31eula9x · 0.43%
#32unsubscribe9x · 0.43%
#33youtube9x · 0.43%
#34instagram9x · 0.43%
#35latest9x · 0.43%
#36rules9x · 0.43%
#37complete8x · 0.38%
#38gpu8x · 0.38%
#39amd8x · 0.38%
#40number8x · 0.38%
Law III — frequency measured, meaning is the reader's · source: https://www.chai-research.com/
Text Topology Fingerprint v1.0.0 · long · 24,931 chars · Law III
Six-layer pre-linguistic shape measurement. Deterministic. Same input, same output, always. Hash: 17308492865397109fd2f5f3dbd04a4e...
◈ Signal Matrix
0.350
TTR
0.197
HAPAX
0.803
REP
0.511
BIGRAM
0.563
H2T
0.284
CPRT
4.155
SKEW
30.318
KURT
0.814
C/P
1.623
PENT
0.545
S1P
0.001
NASC
TTR=type-token ratio · HAPAX=hapax ratio · REP=repetition score · BIGRAM=bigram repetition · H2T=hapax-to-type · CPRT=capital token ratio · SKEW=sentence skewness · KURT=sentence kurtosis · C/P=comma-period ratio · PENT=punct entropy · S1P=single-sent para ratio · NASC=non-ASCII ratio
◈ Topology Position
Latin dominant · moderate lexical diversity · mixed register · moderate clause complexity · narrow topic focus · moderate uncommon edge signal
◈ Six Measurement Layers
Layer 1 — Character
0.0005
Non-ASCII Ratio
0.0 = Latin-dominant · 1.0 = fully non-Latin script
Layer 1 — Character
3.4012
Character Entropy
Shannon entropy of character distribution.
Layer 1 — Character
'e' (2143x)
Most Frequent
Highest-frequency character. Law V — common edge.
Layer 2 — Token
0.3499
Type-Token Ratio
Unique tokens / total tokens. Lexical diversity signal.
Layer 2 — Token
0.1969
Hapax Ratio
Tokens appearing exactly once. Law VI — uncommon edge.
Layer 6 — Document
0.5627
Hapax to Type
Hapax count / unique token count.
Layer 3 — Punctuation
0.8139
Comma/Period Ratio
Clause complexity per sentence.
Layer 3 — Punctuation
1.6230
Punct Entropy
Shannon entropy across punctuation types.
Layer 4 — Sentence
166
Sentence Count
Total detected sentences across all crawled pages.
Layer 4 — Sentence
4.1551
Skewness
Positive = long-tail. Negative = conversational.
Layer 5 — Paragraph
0.5455
Single Sent Ratio
High = web copy. Low = academic prose.
Layer 6 — Document
0.8031
Repetition Score
Tokens appearing more than once / total.
◈ Token Length Distribution
1-3
35%
4-6
31%
7-10
27%
11-15
6%
16-20
0%
21+
0%
◈ Density Gradient — TTR per Document Tenth
Front-loaded = abstract/preamble · Flat = consistent prose · Back-loaded = building complexity
◈ Lexical Richness Curve — Rolling Window TTR
0.681.0
Window=50 tokens · Step=25 · 158 data points
topology_fingerprint.py v1.0.0 · sha256: 1730849286539710... · Law III + Law VI
Ratio Signals 8 deterministic measurements · the gap is the signal
Eight deterministic measurements. Law I: every value traces to its source stage.
schema density
0.3750
Schema props extracted / top semantic words.
nav ratio
0.6471
Nav URLs / total internal URLs.
content to structure ratio
0.0601
Total words / raw HTML bytes. Content density.
external tld diversity
3
Unique TLD count in outbound links.
self declaration coherence
0.0767
Fuzzy overlap across title / H1 / meta / schema name.
schema to nav alignment
0.0000
Schema type tokens vs nav link text overlap.
javascript surface ratio
0.0000
Fraction of interior pages JS-gated.
URL Depth Distribution
depth_0: 2 · depth_1: 13 · depth_2: 2 · depth_3plus: 0
Internal URLs by path depth. Depth 0 = root.
Tech Stack · Security · Freshness SecurityLabel.MINIMAL · FreshnessLabel.CURRENT
Sitemap: ✗Robots.txt: ✗Schema.org: ✓Open Graph: ✓Canonical: ✓HTTPS: ✓HSTS: ✗CSP: ✗
Security
SecurityLabel.MINIMAL
Freshness
FreshnessLabel.CURRENT
Server
Google Frontend
web_serverGoogle Frontend
analytics['Google Analytics', 'Google Tag Manager']
Ledger Appends 8 ledgers · graph edge traversal · Law V+VII
Build: national-transit-v1.0.0 Spec: Root-LD v1.0 Status: LIVE Minted: 2026-05-12
chai-research.com · gdr-e3c05fea
chai-research.com is recorded in the Global Data Registry — open provenance infrastructure for the machine-readable web.
View the Registry →