AI for Healthcare
Sovereign & Private

Patient data privacy is fundamental to every layer of the AGICY healthcare AI platform. All AI inference is performed on RISC-V silicon physically located in our EU-sovereign Vasilikos facility in Cyprus — or in your own air-gapped data center if you choose on-premises deployment. Patient records, diagnostic images, and clinical notes are encrypted at rest (AES-256) and in transit (TLS 1.3). We never log patient data, never train foundation models on your clinical information, and never share data with third parties. Our platform supports automatic DICOM de-identification, pseudonymization of clinical text, and configurable data retention policies that comply with GDPR Article 9 requirements for special category health data. Every access event is logged in an immutable audit trail accessible through our Trust Center.

AGICY is designed for the most demanding healthcare compliance environments. ISO 27001 and ISO 27799 (healthcare information security) are roadmap targets — not currently held certifications. The platform is designed to support GDPR Article 9 for health data processing, EU AI Act high-risk documentation pathways for medical AI (including conformity assessment documentation and human oversight mechanisms), and CE-MDR Class IIa pathways for AI-based medical device software. For institutions with US affiliations, HIPAA Business Associate Agreements are planned with the air-gapped deployment option. NIS2 alignment for essential healthcare services and GxP validation support for pharmaceutical AI workloads are design goals. Our compliance team works with your DPO and regulatory affairs team on documentation before production deployment.

Clinical AI validation on AGICY follows a rigorous three-phase process aligned with EU regulatory requirements. First, we provide a pre-deployment validation environment where your clinical team can test AI models against your own annotated datasets — measuring sensitivity, specificity, AUC-ROC, and clinical relevance metrics before any patient-facing deployment. Second, our platform includes built-in model monitoring that continuously tracks inference quality, data drift, and performance degradation in production — automatically alerting your clinical AI team if model outputs deviate from established baselines. Third, we maintain complete model lineage documentation including training data provenance, validation results, and deployment history — exactly what you need for CE-MDR technical documentation and EU AI Act conformity assessment. All validation artifacts are stored in sovereign infrastructure with immutable versioning.

AGICY will provide native integration with all major European EHR platforms through our FHIR R4-native API gateway. For Epic deployments, we connect through the Epic on FHIR interface. For Cerner (Oracle Health), we use the Millennium FHIR APIs. For European systems like Dedalus, CompuGroup Medical, and InterSystems, we support both FHIR and legacy HL7v2/CDA interfaces. The integration is bi-directional: patient context flows into the AI inference pipeline (encounter data, prior results, medication lists), and AI-generated insights flow back into clinical workflows as structured FHIR resources — appearing directly in the clinician's EHR dashboard. Our integration layer handles all data transformation, consent checking, and audit logging. Typical EHR integration takes 4–8 weeks from kickoff to production, including interface testing and clinical workflow validation. Contact our healthcare solutions team for a detailed integration assessment.