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Medical AI

Clinical AI you can audit.

A supervision protocol on a separate codebase inspects every AI suggestion before it reaches a clinician. The reasoning is visible, the evidence is linked, and the supervision verdict is logged. Governance records (FDA QMSR, IEC 62304, ISO 14971) attach to each AI artifact so audits run against structured data.

Architecture

Reasoning, supervision, governance.

Reasoning engine

100+ agentic tools proposing clinical, operational, financial, and compliance actions. Sub-agent orchestration with evidence synthesis at every step.

Supervision protocol

Separate codebase, separate runtime, separate access controls from the reasoning engine. 211+ tests across 38 test files validate the boundary. The system that proposes cannot override the system that evaluates.

Governance layer

Every AI artifact carries regulatory metadata: QMSR record, IEC 62304 traceability, ISO 14971 risk classification. The audit chain is part of the system, not bolted on.

Engage

Bring your auditors.

The fastest way to evaluate the supervision layer is to run your own QMS lead through our governance artifacts. We share the supervision codebase, the test evidence, and the audit trail on request.

Request a walkthrough