HarnessHealth

For your health — patient or professional

THE HARNESS
FOR YOUR HEALTH.

You already use AI for your health — asking about a symptom, a lab, a medication. So do your doctors, drafting the note and the prior auth. The harness is the layer that makes it safe: your health conversations stay yours, and a licensed physician stands behind anything that matters.

Any model. A physician behind it. Yours by design.

New here? How the harness works, in 90 seconds →

One clinical output
Draft

AI drafts it in seconds — and it is held. No code path sends an unsigned draft to a patient, payer, or record.

A licensed physician reviews and attests — NPI + document hash + timestamp, sealed in an audit log.
Attested

Only now does it count — signed by a named physician, and provable years later.

Watch the gate block an unsafe summary

Whoever you are, there's a door for you.

Everyone's health runs through AI now — the patient asking questions at midnight, the clinician drafting notes at scale. The harness is the same layer underneath both. Start where you fit.

For you & your family

Use AI for your health — safely, and privately.

Ask about a symptom, a lab, a medication. The harness keeps the conversation yours — not training data for a company you'll never meet — and puts a licensed physician behind the answers that matter.

Or tap Ask Sage (bottom-right) to ask a health question now — it's physician-governed, and it never trains on you.

For clinicians & health systems

Ship AI output you can sign, bill, and defend.

Bring any model your team already uses. Every clinically meaningful output is attested by a named physician — NPI-bound, hash-anchored, auditable — before it reaches a patient or a payer.

“Companies need… a harness to orchestrate the whole thing.”

— Jensen Huang, CEO NVIDIA · June 2026

WHAT WE BUILD

A 50-state physician attestation network (altru.care)

A peer-review marketplace with named clinicians (ClinicalSwipe)

An audit chain that links every AI output to the physician who attested it (Hashcare)

Domain-tuned agents for surgical practice, registry abstraction, and clinical documentation (SurgeonValue)

Together: the operational stack that makes physician-attested AI deployable at scale.

AI in healthcare has a governance problem.

Three failure modes are driving institutional anxiety about AI deployment.

01

Unsigned clinical output

AI drafts a care plan, a prior authorization letter, or a medication recommendation. Nobody reviews it. It reaches the patient. When something goes wrong, the liability chain is unclear.

02

Credential laundering

An AI model trained on medical literature generates confident clinical language. No NPI number is attached. No licensed physician reviewed it. The clinical authority is borrowed from training data, not from a real doctor.

03

Fragmented identity

A patient engages with AI across six different health apps. There is no unified identity, no shared medical context, no way for a physician to maintain a coherent longitudinal view of that patient's health journey.

The records already reach Claude. The output isn't governed.

Anthropic and connectors like HealthEx already bring a patient's consented records into Claude — securely, over the federal TEFCA network, via MCP, never used for training. That solves the input. What stays unsolved is the output: when the model interprets a lab, drafts a care plan, or suggests a medication, who signs it?

HealthEx put the patient back at the center of their data. The harness keeps a licensed physician at the center of the decision.

The architecture

The harness is the governance layer
you don't see.

Four components. One governed infrastructure. Every AI call in the ecosystem passes through all of them.

Independently proven at the frontier — June 2026

An open agent harness just carried a mid-tier model past the strongest frontier models on the hardest long-horizon engineering benchmark — same model, same budget, only the control loop changed. The finding: independent verification, revisable planning, and disciplined stopping beat raw model strength on work that runs for days. That is this architecture, specialized for clinical AI — where the verifier is a licensed physician and the gate is attestation. Zenith, Frontier SWE →

NPI Registry

2.4M licensed physicians

The CMS NPPES registry, pre-indexed. Every NPI maps to a page at harnesshealth.ai/dr/[NPI]. Physicians claim and enrich. Health systems query via API. Zero signup required for a physician to have a page.

Attestation Engine

AI generates. Physicians attest. Cryptographic record.

Every clinical output routes through the physician attestation queue. Reviewed in 3-5 minutes. NPI-bound. Authority consumption tracked to prevent rubber-stamping. Immutable audit log.

Embed Network

50+ live sites on footer.js

One line of JavaScript. Patient intake, PROM collection, Reed AI, physician connection. Deployed to 50+ sites. Change once at the source — every site updates.

<script src="https://harnesshealth.ai/footer.js"
  data-npi="[NPI]"></script>

API Gateway

Every AI call is governed.

solvinghealth.com/api/chat — the governed Claude bridge. HIPAA transport. SSO across all 50+ sites via Supabase. Hard intercept enforcement. Public-SDK FHIR connectors. Proprietary intelligence layer.

Technology partners

The health system that works for you.
The builder stack for physician vibe coders.

Two infrastructure partnerships that make physician-governed AI deployable at clinical grade — without building the monitoring platform or the AI orchestration engine from scratch.

The health system that works for you

myon.clinic

MDR Class IIa + FDA cleared. The complete patient experience across eight clinical specialties — cardiology, orthopedics, oncology, gynecology, and four more. Automated treatment pathways, patient-specific thresholds, continuous monitoring between visits. Apple Health / Withings / Garmin wearable integration. What Google Health tried to build and abandoned. FDA clearance is what Google doesn't have.

RTM billing: CPT 98975 + 98977 + 98985 + 98979 = $93–$170/patient/month via enrolling physician NPI.

myon.clinic

Health vertical for physician vibe coders

JetBridge Harness

The professional stack for physicians building with Claude. Agent orchestration, model routing, RAG and graph memory, evals and guardrails, voice stack, observability — all in a HIPAA-compatible private VPC. Healthcare pedigree: DoctorBase (9M patients, 18K providers, acquired by Tebra), Invitae, Nest Genomics. Where a physician who wants a personal AI assistant uses Gemini Spark, a physician who wants to build HIPAA-compliant clinical AI tools uses JetBridge + Claude.

Model-agnostic. Claude-native. Private VPC. Every AI call governed, routed, and observable before it touches a physician queue.

jetbridge.com/harness

The three-layer stack: myon.clinic (the health system that works for you — FDA-cleared continuity across conditions, wearables, and physician oversight) + JetBridge Harness (the health vertical builder stack for physician vibe coders) + the SolvingHealth 50+-site distribution network. No competitor has all three. Health systems that license the stack get FDA-cleared patient monitoring, physician-governed AI, and a patient acquisition network — deployed in under 30 days.

For health systems

Two on-ramps. Less than one FTE to deploy.

Each on-ramp is a contained deployment that proves value in 30 days using existing CMS codes. No EMR rip-and-replace.

On-ramp 1

Post-surgical recovery

SurgeonValue and JointCoach handle prior auth, RTM billing (98985/98979), patient check-in, and outcome tracking. NPI is the login. AI drafts — the surgeon's name stays on the output. $51/patient/month in RTM revenue. $147K missed per surgeon per year, recovered.

See SurgeonValue

On-ramp 2

Discharge-to-home

co-op.care deploys Sage AI for family assessment, autonomous LMN generation (HSA/FSA eligibility), and care coordination. Physician review built in — 50-state licensed. 3–5 minutes per attestation. Runs on existing CMS transition-of-care workflows.

See co-op.care
<1 FTE
to deploy either on-ramp into an existing health system workflow
$147K
missed per surgeon per year, recovered by the post-surgical on-ramp
3–5 min
physician review per AI-generated LMN — the attestation step that makes output billable

Live infrastructure, not a roadmap.

What is deployed and running today. What is in process. The honest accounting is a governance signal, not a hedge.

Live now
  • 50+ healthcare websites on footer.js
  • 2.4 million NPI profiles indexed
  • 231 AI tools in the MCP server
  • Physician search at harnesshealth.ai/find
  • Reed AI chat on every ecosystem site
  • Patient PROM collection via SMS and web
  • Chrome extension (Chanio) for ambient assistance
  • myon.clinic MDR/FDA-cleared monitoring: partnership active
  • JetBridge Harness: AI infrastructure partnership active
In process
  • EMR integration: Epic, Cerner, athena (in development)
  • Provisional patents: 7 drafted (filing in process)
  • JetBridge Harness: full agent stack integration (in development)
  • myon.clinic RTM enrollment: co-op.care + SurgeonValue pathways (in development)
  • BAA: Available on request (2 business days)
  • CMS ACCESS Model: Application submitted, Cohort 1 July 2026
“The moat is whoever first connects grounded clinical evidence to native multimodal output, real workflow extensibility, and physician-earned trust.”
Christian Péan, MD, orthopedic trauma surgeon
Techy Surgeon Substack, “Clinical AI Faceoff”, April 2026

We built the moat.

Who's accountable

A trust company signs its work.

Every attestation in the network traces to a named, NPI-verified physician — starting with ours.

Blaine Warkentine, MD, MBA

Founder

Physician and clinical translator — two decades at the intersection of medicine and software, including the clinical strategy behind a $250M med-tech acquisition. Builds the harness in public.

blainomd.com

Medical Director

Board-certified · 50-state licensed

The medical director behind the attestation network — the NPI-verified signature on every Letter of Medical Necessity and clinical attestation. Named entity: altru.care.

altru.care

Questions a form can't answer? Use the BAA + evaluation request form.

The governance layer your AI deployment is missing.

Start with a BAA request or connect Claude to the harness. No sales call required.

Or save your seat
Sign in to save your harness conversations across devices, or drop your email and we'll send a one-page BAA template.
or

We publish our system prompts, attestation rules, and audit log schema. Trust comes from showing the work.

HarnessHealth provides AI governance infrastructure for healthcare, not medical advice. All clinical outputs are supervised by licensed physicians. Consult a qualified healthcare provider for diagnosis and treatment.

HarnessHealth is an independent company. The harness is built on Claude, Anthropic's AI model, and is not affiliated with, endorsed by, or operated by Anthropic. The engine is theirs — the governance, the physicians, and the accountability are ours.