What if your ontology wasn't documentation — but the actual deployment artefact for your enterprise data stack?
That's the bet Graph Research Labs is making.
Their GRL engine takes a single ontology definition — entities, relationships, rules — and auto-generates:
• APIs & REST applications
• Governed AI agents
• Knowledge graphs
• MCP servers
• Data products
…all integrated with provenance, governance, data quality, and policy management.
In minutes, not months.
When the business changes, everything rebuilds itself.
In this session, Dougal Watt will demo the GRL platform live: → Loading a Healthcare ontology in the Ontology Manager → Publishing into a data pipeline ingesting medications data → Document integrator ingesting PDFs → Auto-generating APIs, React apps, and MCP servers from the ontology → Analyzing the data in the Graph Insights Explorer → Governing everything via the GRL Governance Metagraph
Topics: Knowledge Graph / Ontology · LLM + KG Integration · Semantic Technologies (RDF, SPARQL, OWL) · Data Infrastructure / Data Fabric · Graph
🎤 Live Q&A at the end — come with your questions.
