FL‑MedKube
Secure Federated AI Infrastructure for Healthcare
A distributed infrastructure that lets healthcare institutions train or validate AI models together while sensitive data stays local.
Secure Federated AI Infrastructure for Healthcare.
FL-MedKube is a federated AI infrastructure designed for healthcare and clinical research. It enables multiple institutions to collaborate on training or validating AI models while sensitive data remains within each local environment, under each institution's governance.
Clinical data cannot leave each institution, limiting multi-site AI collaboration.
The challenge
- Patient data is sensitive and subject to strict regulation.
- Single-site datasets are often too small or too biased for robust AI.
- Institutions need control, auditability and clear governance.
Our approach
- Federated learning: only model updates are exchanged, never raw data.
- Cloud-native, container-orchestrated deployment at each site.
- Governance, access control and traceability by design.
Built on our core technology pillars.
Where FL-MedKube applies.
Multi-site model training
Training models across institutions without centralising data.
External validation
Validating models on independent sites while data stays local.
Research collaboration
Enabling consortia to collaborate under shared governance.
Where we are today.
| Programme context | Pathway within the HPC4SME initiative |
| Positioning | Research infrastructure — not a certified or clinically validated medical device |
What we are designing for.
Sensitive records never leave the institution.
Larger, more diverse training populations.
Traceable model updates and access policies.
Design targets — not achieved results. Metrics will be published only after validation.
What comes next.
- Reference architectureConsolidated federated architecture and security model.
- TestbedMulti-node testbed on representative, non-sensitive data.
- Research partnersEngagement with research and clinical partners.
Let’s explore FL-MedKube together.
Let’s turn advanced research into deployable intelligence. Tell us about your challenge — a partnership, a pilot or a request for our company presentation.