A second opinion for your medical AI.

Evaluation & observability for clinical AI agents. Five clinical hallucination detectors, trace-level evidence for every verdict, and tamper-evident audit exports anyone can verify — without trusting us.

Start free Self-serve. Instrument in minutes with the Python or TypeScript SDK.

Detect

Drug names checked against RxNorm, doses against FDA labels, ICD-10 codes against CMS tables, citations against PubMed, PHI leaks, and contradictions with retrieved context — judged, with the reason recorded.

Evidence

Every verdict distinguishes “checked and clean” from “could not check”. What a detector cannot judge is reported as such — never silently passed.

Prove

Signed, hash-chained exports with independent RFC 3161 timestamps. Your auditor verifies them offline with an open tool — our servers are not part of the trust chain.

Detection and audit, not prevention. We don’t sit in your request path and we don’t promise your model won’t err — we make sure that when it does, you know, and can show exactly what happened.