Turn fragmented enterprise data into a navigable knowledge graph.
Connect your APIs, databases, Swagger files, Confluence docs — anything with a schema or endpoint. GraphMorph ingests them all.
Autonomous agents discover entities, infer relationships, and resolve conflicts. They ask you questions when human context matters.
Explore your living knowledge graph. It monitors sources continuously and updates as your data landscape changes.
AI agents parse API definitions, database schemas, and documentation to extract entities and relationships without manual input.
REST, GraphQL, gRPC, SQL databases, Swagger/OpenAPI, Confluence, and more. Connect anything with a schema.
When context matters, agents ask targeted questions. Your expert knowledge gets captured in the graph permanently.
Sources change. APIs evolve. GraphMorph watches for schema drift and updates the graph automatically.
Before you change a service, see every downstream dependency. No more breaking things you didn't know existed.
Built on graph database technology for production-grade queries. Export, integrate, and build on top of your knowledge graph.
GraphMorph was born from a simple frustration: every enterprise sits on a wealth of interconnected data, but nobody can see the full picture. Teams waste months mapping dependencies manually, and critical knowledge lives only in people's heads.
We're building AI agents that do the heavy lifting — discovering schemas, inferring relationships, and assembling a living knowledge graph that evolves with your systems. Based in Copenhagen, we're a small team obsessed with turning data chaos into clarity.
If an AI agent can do it, a human shouldn't have to.
Every connection in your graph is explainable and auditable.
Your data landscape changes daily. Your graph should too.
20-minute conversation about your data challenges. No pitch, no slides — just an honest conversation about your data.
Free · 20 min · No commitment