Our goal is to enrich the world with data that is relevant, licensed, and trustable at planetary-scale.
Recently, mediocre web content has experienced exponential growth - bulk-automated by generative AI.
If our future AI are trained on this - we can expect increasingly lower-quality halluciations.
Ensuring the integrity and trustworthiness of our AI systems is important:
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To learn more: start with our white paper then learn the basics.
- Publishing your own fact claims allows intelligent systems to discover your expertise, offerings and license terms.
- Discover, learn and engage with rich, contextual, quality data to improve the signal/noise ratio for your analysis, RAG and fine-tuning.
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Valid Facts: For a fact to be considered valid, it needs to be associated with a specific action or entity and generated by a particular process.
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Traceable Facts: These facts can be traced back to their source through connections established during their creation or association.
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Grounded Facts: Grounded facts are securely stored in an unchangeable document, ensuring their reliability and verification.
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Published Facts: Published facts are online for reference, they need not be immutable so may be real time.
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Notarized Facts: Notarized facts with a trusted chain of custody, with provenance traced back to a digital trustee.
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Learn about building AI based on facts, trust and integrity.
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Access our comprehensive white paper on trustworthy AI and fact claims.
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Review the latest version of the Request for Comments (RFC) for our project.
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Dive into practical guides for managing and publishing fact claims.
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Get started with the basics of fact claims and their importance.
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Step-by-step instructions to publish your own fact claims.
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Learn about curating and crawling data to ensure trustworthy fact claims.
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Learn how to query with SPARQL to retrieve the facts you need.
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Learn how to repurpose existing SEO rich snippets as
fact.claims
.