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Turn Healthcare Data Into Clinical Intelligence

OMOP-based infrastructure platform for secure AI research with native MCP and AI coding support (Beta).

Transform clinical data from Epic and Cerner. Power datathons with 100+ researchers. Enable AI deployment in healthcare environments.

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Platform Capabilities

OMOP Infrastructure

OMOP Clinical Data Infrastructure

Core OMOP CDM standardization and EHR integration platform. Seamlessly transform data from Epic and Cerner into OMOP format. Enables interoperable AI deployment, eliminates vendor lock-in, and accelerates multi-institutional research collaboration.
AI Sandboxing

Secure AI Sandboxing & Datathons

Safe research enclaves for clinical AI experimentation. HIPAA compliant sandboxes with MCP support and Claude Code integration (Beta). Successfully powers datathons with 100+ researchers. Host multi-institutional datathons and enable collaborative AI research.
Enterprise Integration

Enterprise Integration & Security

Comprehensive Epic and Cerner connectivity. HL7 FHIR, proprietary APIs, and complete audit logging. Multi-cloud deployment on Azure and GCP with HIPAA compliance.
AI Agent Infrastructure

AI Agent Infrastructure (Coming Soon)

Future roadmap: Enterprise-grade infrastructure for intelligent healthcare agents. Planned capabilities include multi-model orchestration and agent-to-agent communication. Built for clinical decision support and next-generation AI applications.
This is a game changer for clinical AI research. The platform's seamless integration with our existing systems and secure deployment capabilities have transformed how we bring AI innovations to patient care. We've successfully hosted datathons with 100+ researchers.
Datathon Participant Clinical Researcher

Frequently Asked Questions

How does Synapptiq integrate with existing Epic and Cerner EHR systems?
Synapptiq's clinical AI infrastructure connects with Epic, Cerner, and ancillary systems through HL7 FHIR and proprietary integration layers. Our platform standardizes data to OMOP CDM format, reducing the need for custom ETL pipelines and enabling integration with existing clinical workflows.
What security and compliance certifications does Synapptiq maintain?
Synapptiq is HIPAA compliant, meeting stringent security requirements for healthcare data infrastructure. Our platform implements end-to-end encryption, role-based access controls, comprehensive audit logging, and undergoes regular third-party security assessments. We maintain BAA agreements with all clients.
Can clinical researchers deploy custom AI models without IT involvement?
Yes. Synapptiq provides a self-service platform where clinical researchers can deploy validated AI applications through our intuitive interface. The platform includes MCP (Model Context Protocol) support and Claude Code environments (Beta). Gemini integration is planned. IT teams retain governance controls and security oversight while researchers gain the agility to iterate on clinical AI projects without lengthy approval cycles.
How does OMOP standardization benefit our AI deployment strategy?
OMOP (Observational Medical Outcomes Partnership) standardization ensures your clinical data is interoperable across different AI models and research initiatives. Synapptiq transforms data from Epic, Cerner, and other systems into OMOP CDM format, enabling you to deploy AI applications trained on multi-institutional datasets. This reduces vendor lock-in and enables collaboration with academic research networks while maintaining data quality and semantic consistency.
How does Synapptiq support datathons and collaborative research?
Synapptiq's platform has successfully powered datathons with 100+ researchers, providing secure research enclaves with MCP support and Claude Code (Beta). Gemini integration is planned. Our infrastructure enables multi-institutional collaboration while maintaining data governance and HIPAA compliance, allowing research teams to work together on clinical AI projects in a controlled environment.
How does Synapptiq handle model versioning and governance for clinical AI applications?
The platform includes comprehensive model lifecycle management with versioning, deployment tracking, and performance monitoring. Healthcare IT directors can establish approval workflows, set usage policies, and maintain complete audit trails for regulatory compliance.

See it in action

Schedule a demonstration of how Synapptiq can transform your clinical AI deployment and streamline healthcare data intelligence.