Daniel Davis: Grounding Generative AI with Context Graphs – Episode 49

Daniel Davis

Long before Foundation Capital published their "trillion dollar opportunity" article about them, Daniel Davis had been building a platform for context graphs.

Daniel's work in complex domains like aircraft safety and autonomous vehicles, as well as his study of quantum mechanics, gave him insights that led him to explore ways to ground probabilistic AI systems in the logic and knowledge they'd need to deliver trustworthy information. He settled on context graphs as the best way to accomplish this.

Daniel was introduced to knowledge graphs by his co-founder Mark Adams, and he has immediately become an RDF evangelist, aiming to not only proselytize the tech but to also make Mark's cat Fred famous in the process.

We talked about:

his role as co-founder at TrustGraph

his work to make his co-founder Mark Adam's cat Fred famous

his diverse background in defense, autonomous vehicles, and cybersecurity

how the complexity and vast scope of compliance requirements around autonomous vehicles led to his interest in context graphs

how the arrival of ChatGPT and GPT-3, and his knowledge that probabilistic systems wouldn't be up to the task of delivering legally compliant information, served as a catalyst for his current work

how a friend's article about the Foundation Capital "trillion dollor opportunity" post led to his Context Graph Manifesto

his hypothesis, based on conversations with several friends at big consultancies, that the sudden interest in context graphs arose from executives reviewing their many failed 2025 AI proofs of concept