Every AI response independently verified before it reaches your users. Dangerous outputs blocked and replaced. Every decision logged and auditable.
Consumer AI health tools serve millions with no clinical oversight. Independent tests show wildly inconsistent results. Leading physicians call them "clearly not ready."
Some companies pay physicians to review every AI output. That's a solution that doesn't scale. Human-in-the-loop on every interaction isn't sustainable.
Most companies are frozen. Legal won't approve. Insurers exclude AI or price punitively. Ready-to-deploy agents sit in staging indefinitely.
Sits between any AI system and your users. Works with your existing models and infrastructure. Nothing to rebuild, retrain, or replace.
Verification rules co-developed with domain specialists — clinicians, behavioral psychologists, cultural experts. Versioned and auditable by specialty.
Blocked responses are replaced with pre-approved safe alternatives written by experts. No second AI generating a "better" answer. Predictable and defensible.
Every interaction logged — which rules were triggered, which lenses passed or failed, what version was running. An immutable record for compliance, legal, and insurance.
A single lens misses real harm. A medically accurate response can still be psychologically damaging. Multiple expert lenses evaluate every response in parallel — and they can disagree. That disagreement is the insight.
Oncologists, pathologists, and physicians
Crisis intervention and mental health specialists
Health equity and diversity specialists
Reduce liability exposure from AI-generated clinical guidance. Third-party verification satisfies enterprise procurement, legal review, and insurance requirements.
Prevent wellness advice from crossing into unqualified clinical territory. Protect millions of users — and your company — when there's no clinician in the loop.
Deploy AI documentation and support tools with a defensible compliance record. Every AI output verified and logged before it enters the clinical workflow.
Get the behavioral failure data needed to underwrite AI risk. Standardized verification data across deployments enables actuarial modeling for the first time.
We're working with early design partners to define what AI behavioral verification looks like in practice. If you're deploying AI in healthcare and want a seat at the table, we'd like to hear from you.
We'll reach out within 48 hours to explore whether there's a fit.
No commitment. We're looking for teams who want to co-develop the verification layer for their use case.