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Trust cannot be the optional part.
Harmony Verify is building the clinical verification layer for healthcare AI — the mechanism that makes an AI-generated clinical output something a professional can rely on and an institution can defend.
Our thesis
Almost all the capital and attention in healthcare AI is going into making models more capable. Very little is going into the far less glamorous question of how anyone establishes that a particular output is correct.
That gap is why so many clinically impressive products stall. Not because the model is weak, but because a health system cannot deploy what it cannot govern, a safety committee cannot approve what it cannot inspect, and a clinician will not rely on what they cannot check. The bottleneck moved from capability to verifiability, and the industry has been slow to notice.
Verification is genuinely hard, and it does not compress into a model call. It requires credentialed people, structured judgement, evidence linking and records that survive scrutiny years later. Building that once, properly, as infrastructure — so that every clinical AI company does not have to assemble it alone — is the work.
We started in healthcare deliberately. It is the domain with the least tolerance for a confident wrong answer, and the standard that holds here will transfer to every other high-stakes field. Solve it where it is hardest.
How we work
Four commitments we hold ourselves to.
Say the boundary out loud
We state what we do not claim as clearly as what we do. A verification company that overstates its own position has already failed at the thing it sells. Our claims discipline is published, not internal.
Measure the reviewers too
Putting a human in the loop is not a safety guarantee — humans are inconsistent under volume. Agreement rates, calibration cases and attributable decisions apply to our own layer, not only to the models we check.
Clinicians are colleagues, not throughput
Fair rates, transparent expectations, cases matched to genuine expertise, and no pressure to clear volume at the cost of judgement. A network treated as a commodity produces commodity review.
Infrastructure, not a competing product
We sit underneath our customers' products and stay there. We do not build competing clinical applications with the data we see, and we do not use one customer's material to improve another's.
Founder
Affriee Darele Yvana
Founder & Chief Executive Officer
Harmony Verify
AI will become infrastructure in medicine. Trust cannot be the optional part.
Building in the open
Harmony Verify is early. The initial platform was built rapidly — architecture, workflows and interfaces developed and iterated with AI-assisted engineering, then tested against what clinical AI teams actually said they needed rather than what was easy to build.
That approach is deliberate and it continues. The fastest way to find out whether a verification workflow holds up is to put it in front of the people who will have to live with it, early and repeatedly, and to change it when they tell you it does not work.
We are working with a small number of design partners while the core is being shaped. If you are building clinical AI and the verification problem is real for you, that is the most useful conversation we can have right now.
For clinicians
Join the reviewer network.
We are building a network of licensed, board-certified clinicians who review AI-generated clinical output within their own specialty — remotely, on their own schedule, on cases matched to what they actually practise.
What the work is
Structured review against a defined rubric: is this output accurate, guideline-concordant, safe, complete and appropriately hedged? You record your judgement, cite what it rests on, and correct what is wrong. Most cases are short; the reasoning is the substance.
- Cases matched to your specialty and scope of practice
- Remote and asynchronous — you choose what you take
- Your judgement attributed to you, with your credentials
- No clinician–patient relationship is created by reviewing
What we ask
An active, unrestricted licence and board certification in your specialty, verifiable at source. Declared conflicts of interest. Willingness to be measured — agreement rates and periodic calibration cases apply to everyone in the network, without exception.
Current stage
Where things stand.
Harmony Verify is in its early build phase. The verification workflow, review rubric and record format described across this site are the system we are building and refining with design partners now.
We would rather tell you that plainly than imply a maturity we have not reached. If you need a vendor with years of deployment history, we are not that yet. If you want to shape how clinical verification infrastructure gets built — and get it configured around your product while that is still possible — this is the right moment.
Work with us
Build the trust layer with us.
Whether you are shipping clinical AI, practising medicine, or want to help build the infrastructure underneath both — we would like to hear from you.