Today, we are introducing VerifiedOS — a protocol that converts unsupported AI claims into inspectable, challengeable, portable proof-of-claim receipts.
Our goal is to build the verification and evidence layer between AI-generated outputs and consequential business decisions.
The AI assertion problem
Large language models generate assertions at scale. They tell us that a codebase is secure, that a trading algorithm operates within risk parameters, or that a clinical trial statement is accurate.
But an assertion is not proof.
When organisations consume these assertions as truth, they expose themselves to unchecked risk. Hallucinations, subtle logic drifts, and missing evidence boundaries go undetected because there is no independent audit trail.
The verification workflow
VerifiedOS provides a deterministic proof-attempt workflow:
- Submit — A human, application or agent submits a factual claim and the evidence intended to support it.
- Screen — VerifiedOS validates the request and isolates untrusted content.
- Assess — One primary model and three heterogeneous judge models assess the same claim context independently.
- Validate — Each response is checked against strict requirements.
- Adjudicate — Deterministic application logic applies the versioned outcome rules.
- Receipt — The complete transaction is assembled, signed and written to a tamper-evident record.
What a receipt proves
A receipt proves that a recorded verification process occurred under an identified policy and execution state. It does not guarantee truth, legal admissibility, or regulatory compliance.
That distinction is essential to our credibility.
Get started
You can try VerifiedOS today with three free verification attempts — no payment method required. Visit [verifiedos.ai](/verified) to submit your first claim.