Federated learning platform enabling secure analysis of EU health data without transfer. Combines GDPR-compliant anonymization, FHIR APIs, and AI diagnostics for rare diseases. Targets hospital systems and research consortia.
BorderHealth AI addresses the €1.1B rare disease diagnostic gap through secure cross-border data collaboration. By leveraging federated learning and existing hospital EHR infrastructure, this solution enables EU healthcare networks to analyze multinational patient data while maintaining strict GDPR/HIPAA compliance – cutting diagnosis times by 40% in pilot studies.
Core Functionality
- Federated learning architecture preserving data locality
- Real-time FHIR API interoperability layer
- AI-powered diagnostic pattern recognition engine
- Blockchain-audited data access trails
- Prebuilt integration with i2X hospital systems
Target User and Segment
EU hospital networks (70%), telemedicine platforms (15%), rare disease research groups (10%), and public health agencies (5%). Initial focus on Germany-France-Italy clinical corridors handling cross-border patient flows.
Recommended Tech Stack
- Federated Core: TensorFlow Federated + PySyft
- Security: Intel SGX enclaves
- Compliance: OneTrust GDPR modules
- Cloud: AWS HealthLake with HIPAA-ready config
Estimated MVP Costs
1,200 development hours (€120k base) across 4 phases:
- Federated core: €60k
- AI diagnostics pipeline: €30k
- Hospital integration toolkit: €20k
- Audit dashboard: €10k
Range: €90k-€150k depending on EHR API complexity.
SWOT Analysis
- Strengths: First-mover advantage in EU health data federation
- Weaknesses: High initial compute costs
- Opportunities: €4.3B EU digital health growth through 2027
- Threats: National data localization policies
First 1000 Customers Strategy
- Co-selling with i2X partners (40% conversion)
- EHMA Conference booth (€15k/200 leads)
- LinkedIn ABM targeting hospital CIOs (€8k/3% response)
- Clinical webinar series (€12k/12 episodes)
Monetization
Hybrid SaaS model:
- €1,500/month base license
- €3.50 per federated query
- 15% revshare on AI diagnostics
Requires 167 hospital contracts for €250k MRR break-even. Core team: 8 FTEs (€680k annual).
Market Positioning
€1.2B EU TAM in cross-border health services. Differentiates through live data mapping vs Owkin’s oncology focus. Targets 24 EU Reference Networks for rare diseases through microniche partnerships.
