Prove any AI
Keep your model. Prove its decisions.
You may already run a capable model — a national LLM, a cloud API, or your own. What you likely cannot do is prove a decision it made, months later, to a regulator or a court. Yalla2x adds that layer on top, without replacing what you have.
The gap
Capability you bought. Provability you didn't.
The AI market sold capability first. But when a decision is challenged, “the model was confident” is not a defence. Regulators and courts ask for the record: what was decided, on what data, and that nothing was changed since.
That is a verification problem, not a smarter-model problem — and it sits on top of whatever model you already use.
Works with what you run
Our verification layer seals and checks decisions from any model — a sovereign national LLM, a foreign API, or your own. You keep your stack; you add proof.
What the overlay adds
A model, made accountable.
| A capable model alone | + Yalla2x verification layer | |
|---|---|---|
| 01A challenged decision | “The model was confident” — a probability you have to trust. | A sealed, replayable record that can be independently checked. |
| 02Audit trail | Best-effort logs that can be overwritten. | A tamper-evident chain; any decision re-checkable years later. |
| 03Where it runs | Often a foreign or rented endpoint. | Sealing and verification on infrastructure you control, in-region, offline-capable. |
| 04Regulatory readiness | Traceability bolted on after the fact, if at all. | Traceability of decisions by construction — the artefact a high-risk-AI regime asks for. |
Modern high-risk-AI regimes (for example the EU AI Act, and NIST-style risk frameworks) require traceability of decisions and post-market monitoring. A sealed decision is that artefact, produced as the system runs rather than reconstructed later.
How to start
Prove one decision you would hate to defend.
The fastest way to see it is to pick a single high-stakes decision your current AI makes, and put it under the verification layer. You keep the model; we make the decision provable, and you see the record it produces.
The wedge, plainly
We do not need to win your model decision to be useful. We need one decision you cannot currently prove.