TrustGraph turns enterprise knowledge, systems, and business logic into an ontology-grounded operating graph connected to a policy runtime that governs what AI agents can do. Agents propose actions. TrustGraph checks them against business meaning, authority, and evidence before execution. Each decision preserves the evidence and policy version behind it as queryable W3C PROV-O provenance. Understand. Govern. Verify. Understand your business: Build a connected operating graph of entities, relationships, policies, and evidence from documents and systems, using your own or domain-standard ontologies. Govern agent actions: Enforce explicit rules for authority, scope, risk, uncertainty, time, and value at the point of action. Verify decisions: Retain the evidence and policy versions needed to explain and reproduce each outcome. Built on W3C RDF 1.2, OWL, SHACL, and PROV-O, TrustGraph keeps your business knowledge portable. Deploy with Docker or Kubernetes, in the cloud or on-prem, using hosted LLMs or open-weight models with the native TrustGraph inference stack.
| Website | https://trustgraph.ai |
| Employees | 5 (2 on RocketReach) |
| Founded | 2024 |
| Industry | Data Infrastructure and Analytics |
| Keywords | Ai Model Deployment, Ai Agent Deployment, Artificial Intelligence Agents, Open Source Ai, Large Language Models, Knowledge Graph Technology, Ai Infrastructure, Ai Development Tools, Llm Deployment, Ai Workflow Automation |
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2 people are employed at TrustGraph.
TrustGraph is based in San Francisco, California.