Federated AI for Privacy-Preserving Healthcare Operations

We are building a consortium for Horizon Europe Health calls focused on applying federated learning and edge AI to healthcare challenges. Our approach enables hospitals and medical centers to leverage distributed intelligence across their infrastructure—medical imaging devices, patient monitoring systems, diagnostic equipment—without centralizing sensitive patient data.

What we bring

• Manta Platform: Production-ready orchestration for decentralized AI workloads in medical environments
• Medical-Grade Security: ISO 27001 compliant infrastructure with healthcare-specific privacy guarantees
• Federated Learning Expertise: Proven algorithms enabling collaborative medical research without data sharing
• Regulatory Framework: Built-in GDPR compliance and pathway to MDR certification

Current consortium strength

• AI Platform Provider (Manta): Edge orchestration and federated learning infrastructure for healthcare
• Technical Integration: Experience with DICOM systems and medical device protocols

What we're seeking

• Hospital Networks/Medical Centers: Live deployment sites with real clinical challenges (emergency diagnostics, chronic disease management, medical imaging)
• Medical Device Manufacturers: Imaging equipment, patient monitoring systems, or diagnostic device providers
• Healthcare AI Specialists: Companies with medical AI algorithms requiring privacy-preserving deployment
• Research Institutions: Clinical validation partners and medical AI research groups
• Regulatory Experts: MDR certification and medical device compliance specialists

Target Applications

• Privacy-preserving collaborative diagnostics across hospital networks
• Federated learning for rare disease research without data pooling
• Real-time edge AI for emergency medical imaging analysis
• Distributed clinical trials with local data processing
• Predictive analytics for patient monitoring while maintaining data sovereignty

Expected Impact

• Enable sub-50ms diagnostic AI inference at point of care
• Reduce healthcare data processing costs by 60-80% vs cloud solutions
• Unlock collaborative research across institutions while maintaining GDPR compliance
• Accelerate medical AI deployment in underserved regions
• Create replicable framework for European healthcare sovereignty

The Healthcare Challenge

47 million Europeans live in medical desert regions with limited access to specialized care. Meanwhile, 85% of European healthcare AI relies on non-EU cloud infrastructure, creating sovereignty risks with our most sensitive data. With the EU Data Act and AI Act demanding local processing, healthcare providers need solutions that combine advanced AI capabilities with complete data control.

Our federated approach solves this by bringing AI directly to where medical data is generated—hospitals, clinics, diagnostic centers—enabling institutions to collaborate on AI development without ever sharing patient data.

Interested in joining our consortium? We're looking for partners who can provide real-world clinical scenarios and complementary expertise in medical AI, device integration, or regulatory compliance. Together, we can demonstrate how federated AI transforms healthcare while respecting patient privacy and European sovereignty.

Contact us to discuss your use case and role in this innovative European collaboration.