The map that builds itself

Connect once.
Discover everything

Point GraphMorph at your APIs, schemas, and data warehouses. Autonomous agents map every entity and relationship into a living knowledge graph in days, not quarters.

Months Days
Time to first graph
Zero
Graph specialists needed
Any source
REST · GraphQL · SQL · Docs
The problem & the solution

Enterprise data isn't missing. It's unmappable.

Integration landscapes don't break because data is absent they break because nobody can see how the pieces connect.

Without GraphMorph

  • 01New developers take 2–3 months to understand your integration landscape.
  • 02Nobody knows which systems depend on which until something breaks.
  • 03AI initiatives stall because data is siloed across hundreds of APIs.
  • 04Graph specialists cost €150K+ and take months to map manually.

With GraphMorph

  • 01A navigable map of your entire data landscape in days, not months.
  • 02Every dependency visible impact analysis before you deploy.
  • 03AI-ready data fabric that connects your sources automatically.
  • 04No graph expertise needed AI agents handle discovery end-to-end.
The numbers

When the point is a number, the number is the point.

For a 1,000-engineer enterprise
€2.0
4.5M

Recoverable engineering time per year onboarding, dependency spelunking, schema archaeology reclaimed.

Data governance · 2026 → 2031
€4.3B
€9.0B

Enterprise data-governance spend more than doubles over the next five years. 16.1% CAGR. Mordor Intelligence.

How it works

Three steps from data chaos to connected intelligence.

Point GraphMorph at what you already have. Our agents do the crawling, the normalizing, and the linking and keep doing it as your estate evolves.

01 · Point

Point it at your sources

Connect APIs, databases, Swagger files, Confluence docs anything with a schema or endpoint. GraphMorph ingests them all.

02 · Map

AI agents map the graph

Autonomous agents discover entities, infer relationships, and resolve conflicts. They surface questions only when human context matters.

03 · Evolve

Navigate and evolve

Explore your living knowledge graph. It monitors sources continuously and updates as your data landscape changes.

Capabilities

Built for the complexity of real enterprise data.

We don't assume clean inputs. We assume APIs that contradict each other, schemas that haven't been updated in three years, and docs that live in six different places.

01

Autonomous discovery

AI agents parse API definitions, database schemas, and documentation to extract entities and relationships without manual input.

02

Multi-source ingestion

REST, GraphQL, gRPC, SQL databases, Swagger/OpenAPI, Confluence, and more. Connect anything with a schema.

03

Human-in-the-loop

When context matters, agents ask targeted questions. Your expert knowledge gets folded back into the graph not lost in a ticket.

04

Continuous monitoring

Sources change. APIs evolve. GraphMorph watches for schema drift and updates the graph automatically with an audit trail.

About us

We believe enterprise data shouldn't be a mystery.

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.

01

Automation first

If an AI agent can do it, a human shouldn't have to.

02

Transparency

Every connection in your graph is explainable and auditable.

03

Continuous evolution

Your data landscape changes daily. Your graph should too.

Let's talk

Twenty minutes.
No pitch. No slides.

An honest conversation about your data challenges what's tangled, what's missing, and whether GraphMorph can help.

Free · 20 min · No commitment