About HarnessHealth

A trust company
signs its work.

The model is becoming a commodity — parity is spreading across every frontier lab. What does not commoditize is accountability: a named person who stands behind a consequential output and answers for it. That is what we build.

Any model can draft it. A licensed physician signs it and answers for it — and you keep the record.

Healthcare already runs AI. Anthropic and connectors bring a patient’s consented record to a model; the model drafts the note, the letter, the prior auth. What no one added is the layer that governs the output — the step where a clinician reviews it, signs it under their own NPI, and becomes accountable for what reaches a patient, a payer, or a chart.

We are careful about what that layer does and does not do. Attestation does not make an AI output more accurate, and we do not claim it does. It makes the output accountable — a verifiable chain of responsibility for a consequential automated decision. That is the property a payer, a regulator, and a court actually need, and it is the one a cost-based system and a consumer chatbot structurally cannot supply.

The market is filling with tools designed to always say yes. The scarce thing is a system honest enough to sign — and, when the answer is no, to say so in writing.

We publish what is live and what is not. The honest accounting is itself a governance signal.

You can read our system prompts, our attestation records, and an unvarnished list of what is deployed today versus in process on the trust page. We would rather show the seams than sell a roadmap as if it were shipped.

Where we sit

An owner, a witness, and a proof.

Three layers, each a thing an ungoverned AI conversation never had. The harness is the middle one — the runtime that binds the output to a person.

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Context, held on your side

The record and the memory of the conversation, kept where the person controls it — not rented back from a vendor’s server.

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HarnessHealth

The runtime that binds the output

Every clinically meaningful AI output passes a licensed physician before it counts — attested, NPI-bound, auditable. This is us.

How the harness works

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Proof that survives

Each decision is hash-anchored, so years later you can prove what was said, who signed it, and that it was not quietly changed.

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Who answers for the work

The people behind it.

HarnessHealth is built by Blaine Warkentine, MD — a clinical translator who has spent 20+ years at the boundary between surgeons and technology. As Clinical Orthopaedic Director at BrainLAB he grew the orthopaedic vertical to $250M in enterprise adoption. He holds five patents in image-guided surgical navigation and has been part of multiple healthcare M&A exits, including HCA Healthcare and Anytime Fitness. He builds the infrastructure here, not only advises on it.

The clinical accountability is real and it is licensed. Every attestation is performed by a licensed medical director acting under their own NPI, through our physician-attestation partner. The signature on a consequential output belongs to a named clinician who can be held to it — not to a model, and not to a company disclaiming medical use in its footer.

The governance layer your AI deployment is missing.

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