Ontology-driven knowledge for medicine

Represent the world your way.

Medicine is seen through many eyes. Grego lets each team define its own view of the world, and then works exactly that way.

Medicine has no single view of the world.

Tools built on one fixed model force everyone into it, or make experts wait months for the next release. In a field that keeps learning, a static worldview stops making sense.

Flexible where you think. Rigorous where it counts.

One Project, four views

01 · Define

Set your view of the world.

Describe your field the way your team sees it: the things that exist, what you know about them, and how they relate. That ontology becomes the rules of your workspace.

02 · Collect

Fill it with your world.

Grego turns your ontology into tables and forms, with no code. Every entry is checked against it, so the knowledge is right from the first record.

03 · Analyse

Explore it with your mindset.

See where everything is: each record’s latest known location, drawn from its full history of observations.

03 · Analyse

And how it all connects.

The same records, linked by the relationships you defined. Select one and follow it across the table, the map and the graph.

04 · Evolve

When your thinking changes, your tool changes with it.

Fields move, and so do the people working in them. Publish a new version of your view of the world whenever you need, without redevelopment and without waiting for a release. Existing Projects keep the version they were built on, and move forward only when you decide.

Published v1Published v2Draft v3
Emergency Madrid on v1
Hospital Research on v1
Emergency Barcelona on v2

Evolution is a feature, not a revamp.

Built for

Experts whose tools keep up with them.

For teams who cannot wait for software to catch up with what they learned this week.

Hospital research

Research that keeps up with the protocol

Model studies, cohorts, samples and analyses the way your protocol defines them. When the protocol changes, the model changes with it, and earlier data keeps the context it was recorded in.

Emergency medical operations

Command and control, your way

Incidents, teams, patients and hospitals in one picture: where each one was last known to be, and how they are connected, structured the way your service actually works.

Clinical surveillance

Follow cases across sites

Track cases, diseases and notifiable conditions across departments and sites, with a full history of what was observed, and when.

Built to be trusted

Your data is a strategic asset. Treat it like one.

On-premise

Designed for your infrastructure

Grego is built to run inside your organisation. Your data, and even the map, stay where you decide. Nothing calls out to third parties.

Ontology-driven

The model sets the rules

Your ontology defines what can be recorded. Grego enforces it on every entry, so quality is built in rather than cleaned up later.

Traceable

Every view has a version

Published versions of the ontology never change. Every record is tied to the version it was made under, so you always know the rules it followed.

Historical

Nothing silently overwritten

Observations are added, never replaced, and deleted records are kept. You can always see what was known, and when.

Where this goes

The foundation for trustworthy medical AI.

AI in medicine has to show its reasoning. An explicit ontology, defined by experts, is what makes that possible: it grounds models in concepts people agree on, and lets the system reason over them symbolically. That neurosymbolic approach is where Grego is heading. Its foundation is the product you can use today.

Grounding · Symbolic reasoning · Inference · Neurosymbolic AI

See Grego in your field.

We will walk you through a medical use case, from your view of the world to the graph.

Request a demo