Train AI models across hospitals — without sharing data
Unlock predictive healthcare intelligence through a neutral federated data space.
Kvasar enables federated AI across healthcare organizations
Neutral infrastructure — not a data owner
Data stays within each hospital
AI models are deployed locally
Only model updates are shared
Learn from a network, not just your own data
HOW IT WORKS
Models train locally at each hospital and share only insights — never the data.
Connect
Hospitals join the data space without moving their data
Deploy
AI models are sent to each organization
Train
Models learn locally from private data
Aggregate
Encrypted updates are combined
Improve
A global model benefits all participants
USE CASES WE ENABLE
Clinical prediction
Predict bed occupancy, manage emergency saturation, and improve staff planning with data-driven insights.
Operational Efficiency
Predict bed occupancy, manage emergency saturation, and improve staff planning with data-driven insights.
Research & AI
Train multi-hospital models, accelerate rare disease research, and improve treatment decisions with shared intelligence.
Built for trust and control
Data sovereignty
Each organization keeps full data sovereignty
Collaboration
Rules are defined collaboratively
Neutral
No central ownership
Compliance
Full GDPR and EHDS compliance