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.
Ontology-driven knowledge for medicine
Medicine is seen through many eyes. Grego lets each team define its own view of the world, and then works exactly that way.
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.
01 · Define
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
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
See where everything is: each record’s latest known location, drawn from its full history of observations.
03 · Analyse
The same records, linked by the relationships you defined. Select one and follow it across the table, the map and the graph.
04 · Evolve
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.
Evolution is a feature, not a revamp.
Built for
For teams who cannot wait for software to catch up with what they learned this week.
Hospital research
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
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
Track cases, diseases and notifiable conditions across departments and sites, with a full history of what was observed, and when.
Built to be trusted
On-premise
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
Your ontology defines what can be recorded. Grego enforces it on every entry, so quality is built in rather than cleaned up later.
Traceable
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
Observations are added, never replaced, and deleted records are kept. You can always see what was known, and when.
Where this goes
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.
We will walk you through a medical use case, from your view of the world to the graph.
Request a demo