Prove what your AI did.
AYA Verify independently checks your AI's regulated decisions and hands you a receipt (where it's wrong, what the right answer was, and what the mistake would have cost). Not a confidence score, proof.
Book a pilot See a sample receipt
THE PROBLEM
Your model produces a plausible answer and asks you to trust it. That's fine for a first draft, it is not fine for a compliance determination, a clinical recommendation, or anything an auditor will read. And the standard fix (grading probability with more probability, an LLM judging an LLM, a confidence score dressed up as a check) does not clear the bar a regulated buyer has to meet. As of August 2, 2026, the EU AI Act makes "prove what your AI did" a board-level obligation for high-risk systems, with a deadline attached.
HOW IT WORKS
AYA Verify sits behind your AI, not inside it. For each decision it constructs an independent answer, executes it, and checks it against a sound verifier (the actual rule, the actual source, the thing that is either right or wrong). Where a decisive check exists you get a guarantee, where none exists it fails closed and flags the case rather than pretending. Your model, your prompts, and your weights stay yours, we never ingest them.
WHAT YOU GET (the receipt)
For every disagreement, one line of evidence an auditor can't wave away: - where your AI's decision is wrong, - the correct answer, with the citation, - the failure kind (guessed through a data gap, wrong rule, invented citation, stale source, over-abstained, wrong path or obligations), - the cost delta of that mistake.
A disagreement report you can put in front of a regulator, not a dashboard you have to trust.
WHO IT'S FOR
Companies shipping AI for regulated or high-stakes decisions. RegTech and compliance platforms first (our design partner is a compliance-automation vendor, verifying their own AI's regulatory walk), then healthcare, then fintech. If a wrong answer from your AI ends up in front of an auditor, a regulator, or a court, this is for you.
PRICING (the ladder)
- Pilot, a fixed-price paid proof on your own data. You see the receipts before you commit to anything. - Value-metered, per verified decision, once the pilot proves the delta. - Platform, license the verifier into your stack.
IP is licensed, never assigned. The verifier stays ours, the value is yours. Prices are hypotheses we validate with you, the ladder shape is the commitment.
THE PROOF (we dogfood it)
We run this discipline on ourselves. AYA is a company that builds itself, and every step it takes leaves a verification receipt (the same kind of receipt this product produces). Our own receipts are in the open, from the dry-run that proved eleven money steps refuse to run unpaid, to the gate that proves a paused arm actually stops, to the redactor run that caught free-text identifier leaks a static eval never measured. We don't sell verification we don't practice.
First design partner: a regulatory-compliance platform, verifying their own AI's compliance walk (first real-data run gated to the pilot). case study to follow
HONEST NOTE
We would rather under-promise. Where a sound verifier exists, we give you a guarantee. Where one doesn't, we tell you that and escalate, we do not manufacture a green check. That refusal to fake certainty is the entire product. And to be straight about status: the capability is built and wired end to end, the first external real-data run is scheduled with our design partner, so the receipts on this page are our own dogfood receipts until that lands.
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*This page is a specification. The capability it describes is not built yet, and nothing here is a claim that it runs today.*