One product · One standard of evidence

Evidence you can verify, on the AI that acts in your name.

We attack the agents you run, measure how they behave across eight dimensions, and preserve what happened. Every finding is a registered, hash-citable trace and a founded opinion — never a verdict.

What we build

One engine. One kind of evidence.

Proof

Independent adversarial testing of the AI you run

We generate multi-turn attacks against your AI system, then type and score what breaks — by dimension, with a coverage report and an occurrence rate over N runs.

Ideal for: teams putting AI in front of customers or regulators.

Explore Proof

One standard of evidence

Built to be defensible.

Grounded in your context

Our probes and checks are built from your real material — the articles of a law, your policies, your products — so the evidence is about your system, not a generic benchmark.

Registered and hash-citable

Every attack trace and every objection is recorded in a registered, hash-citable audit trail you can re-verify line by line.

Coverage you can read

We treat the number of runs as a first-class parameter and publish a coverage report; where a budget limits scope, we say so.

A founded opinion, never a verdict

We report readiness and objections with the evidence behind them. We never certify, and we never reduce your AI to a single score.

Proof

See how your AI behaves under pressure.

We score behavior across eight measurement dimensions, then translate what we find into governance evidence and a defensible Score Card.

Fairness & Non-Discrimination

Safety & Harmful Content

Transparency & Explainability

Privacy & Data Protection

Factuality & Accuracy

Robustness & Adversarial Resilience

Security & Access Control

Accountability & Human Oversight

Governance bridge

For regulated programs, we map those dimensions to the nine control areas of ISO 42001 Annex A and, through them, to the framework you answer to — from a technical finding to governance evidence.

Where it runs

It runs inside your own environment, so the agent under evaluation never has to be reached from outside it. Where it runs is settled in scoping, in writing.

What you receive

A Score Card: the findings, the coverage, and what verified remediation confirmed.

Explore Proof →

Check

Know a document holds up before you send it.

Requirement-driven

We break the regulation into its individual requirements and test the document against each one.

Grounded objections

When a citation does not hold, we show it does not exist in the source of record — a demonstrable gap, not an opinion about truth.

Two exports

An evidence-only report for the auditor, or a remediation report for whoever revises the document, so the party that certifies is never the party that edits.

Wherever content meets regulation

Judicial, environmental, food safety, and more. Consultancies run it at volume; end-clients run it on the filing that matters.

How it works

From scope to Score Card.

Scope

We fix what to evaluate and the source of record, pinned so the result is re-verifiable.

Probe

We attack the AI (Proof) or test the document against each requirement (Check).

Interpret

We turn raw results into findings, with occurrence rates and coverage.

Conclude

You receive a Score Card: readiness, objections, and the evidence behind each.

Frameworks

Speak the framework your regulator does.

We keep the engine framework-agnostic and translate findings into the language of the standard you answer to. Readiness per framework is produced by the certification layer — never baked into a single dimension.

EU AI ActISO 42001NIST AI RMFOWASP LLM Top 10

Start with a conversation.

See a Score Card on your own system, and where your readiness stands today.