Your AI product needs a verification story by August 2. License ours.
AYA Verify Platform puts the verifier we run on our own AI inside your product. Your customers get what ours get: an independent re-derivation of every high-stakes decision, checked against the actual rule or the actual source, returned as a receipt (where the AI was wrong, the correct answer with citation, the kind of failure, the cost of the mistake). Under your brand, in your stack, licensed, never assigned.
Talk to us about embedding the verifier See a sample disagreement receipt
THE PROBLEM
If you sell AI that makes regulated or high-stakes decisions, your buyers have started asking a question you cannot answer with a confidence score: prove it. From August 2, 2026, the EU AI Act makes that a board-level obligation for high-risk systems, and deployers are on the hook regardless of whose model produced the decision, which means YOUR customers inherit YOUR verification gap. The in-house fix is an LLM judging an LLM (probability grading probability, which no auditor accepts) or a two-quarter project to build a real verification layer while your roadmap waits. Most teams will do neither in time. The deadline does not care.
HOW IT WORKS
You embed the verification layer; your product hands its customers the receipts. For each decision your AI makes, the engine independently constructs the answer (it does not paraphrase your model, it re-derives the result), executes that construction against a sound checker (the actual regulation walked step by step, the actual database recomputed query by query), and compares. Agreement comes back as a verified answer. Disagreement comes back as a receipt: where your AI's decision is wrong, the correct answer with its citation, the failure kind (guessed through a data gap, wrong rule, invented citation, over-abstained, wrong path), and the cost delta of that mistake. And where no decisive check exists, the engine fails closed and says UNVERIFIED. It never manufactures a green check, which is exactly why the green checks it does produce are worth embedding.
WHAT YOU GET
- The engine, licensed into your stack, the same verifier that runs on regulatory walks and high-stakes data answers today, behind your product, under your brand. - Receipts your customers can hand an auditor, not dashboards they have to trust. - Fail-closed by construction, an unverifiable case is flagged, never waved through, so the artifact survives diligence. - Your models stay yours. The verifier sits behind your AI, not inside it; we never ingest your weights or prompts.
WHO IT'S FOR
AI companies whose customers demand proof: RegTech and compliance-automation vendors first (our first design partner is exactly this, a compliance platform verifying its own AI's regulatory walk), then vertical AI in healthcare, fintech, and legal. Also GRC platforms and audit firms that want to resell an independent verification layer. If you need one-off verification of your own AI's output, that is our AYA Verify pilot, not this tier; the platform license is for putting the verifier inside something you sell.
PRICING (the ladder)
We price the ladder, not a single number, and every number is a hypothesis we validate with you. - Embed pilot, a bounded, fixed-price integration on one decision lane, with our engineers on it, so you see the receipt rendering inside your product before you commit. - Usage-metered license, per verification receipt your deployment produces, with volume bands and an annual floor. - Platform license, white-label across your product line with resale rights, negotiated, annual minimum.
IP is licensed, never assigned. The verifier stays ours; the receipts are yours. Any step that takes your money is gated and human-confirmed before it runs, nothing charges silently.
THE PROOF (we run it on ourselves)
The engine you would embed is the one AYA runs on itself. Every step AYA takes leaves a verification receipt on disk, our own builds do not close without one, and the same judge core now verifying our design partner's regulatory walks verifies AYA's own outputs daily. We are not licensing a verification thesis, we are licensing the discipline we already live under.
HONEST NOTE
We would rather under-promise. What exists today: the verification engine, built, committed, and run on AYA's own decisions, plus a design-partner pilot in flight. What does NOT exist yet: the packaged embed surface. There is no SDK, no client library, and no stable versioned API contract you can download today; the first platform integrations will be built with our engineers in the room, and the contract will be versioned from what those integrations teach us. No external company has embedded the verifier yet, and our first external real-data run is scheduled with our design partner, not behind us. If you want a glossy self-serve SDK this quarter, we are not it. If you want to be one of the partners the SDK gets built with, that is precisely the conversation.
Talk to us about embedding the verifier
*This page is a specification. The capability it describes is not built yet, and nothing here is a claim that it runs today.*