Heavily regulated industries often see regulations as a barrier to innovation. When regulations are coupled with disconnected data silos, innovation grinds to a halt. Critical information is buried in tens of thousands of pages of technical designs that must couple to regulatory requirements. Whether it’s legal texts, compliance docs, or even industry best practices, connecting these data silos is essential to enabling technical innovation.

In this presentation, the founders of TrustGraph will provide a brief overview of their open-source framework and how it can break down these information barriers and connect the most complex of data silos. As part of this framework, Memgraph is used as a graph store to enable GraphRAG querying. The main focus will be demonstrating how TrustGraph deploys reliable, scalable, and accurate AI agents through its modular design and innovative features.

Mark Adams served a distinguished career in the UK Government. He left to found Trust Networks which he successfully sold to Lyft in 2018. In 2020 he returned to the UK to pursue bringing American entrepreneurial methods to the UK. He has mentored founders, served on Boards, and even founded additional startups. Knowledge graphs have been a personal passion for his entire professional career, with AI being a new opportunity to unlock the true potential of graphs.

Daniel Davis began his career with Northrop Grumman evolving to being a civilian member of the USAF running joint programs with partner nations and NATO. He came to Silicon Valley with Lyft's autonomous vehicle division and continued through the IPO running Business Continuity and Disaster Recovery in partnership with E&Y. Drowning in paperwork has been a hallmark of his career, with AI being an opportunity to flip the script on regulations, turning them into an enabler as opposed to a blocker of technology innovation.

Using AI Agents to Make Sense of the UK Law at Scale