Build a control plane for clinical AI interoperability that tests integrations before launch, monitors live workflows, and flags failures in documentation, data exchange, model behavior, and care-routing logic. The product would provide validation suites, workflow observability, compliance-ready audit trails, and integration health dashboards for healthcare AI vendors and health systems.

Clinical AI is moving from pilots into large-scale deployments across millions of encounters and hundreds of millions of patients. As adoption grows, the bottleneck shifts from model capability to safe, reliable interoperability inside mission-critical healthcare infrastructure.