Independent assurance over what your AI actually does.

Nobody outside your organization can verify your own testing. That is the gap we close. We give regulators, buyers, insurers, and boards independent evidence that your AI does what you say it does.

For Regulators

Answer a regulatory inquiry, wherever you operate.

For Buyers

Clear a procurement or security review.

For Boards

Give directors a straight answer on the risk.

For Insurers

Support an underwriting decision with evidence.

You want to make a specific claim about your AI, we verify it.

Whatever specific claim you need to stand behind about an AI system, we independently verify it and document exactly what we found, in the conditions where the system actually runs.

A NYC bias audit you are required to publish

You are hiring in New York City or develop HR AI. We run the Local Law 144 bias audit and issue the independent results the law requires, either verifying your own testing or running the audit ourselves.

A claim you need to stand behind

Your documentation makes specific claims, or you want to say something no framework yet covers: be it your responsible data handling practices, the performance of your anonymization algorithm, or another. We turn the claim into clear criteria and independently confirm whether it holds.

An internal audit required for ISO 42001

We act as independent auditor for your internal audit requirement under ISO 42001. If you are not sure whether you are ready to start the certification process we also offer a structured gap analysis for you to know what is still missing.

Verifying the guardrails of a chatbot

A direct engagement to verify that a set of guardrails for an LLM-based chatbot work as promised.

How an engagement runs.

Every engagement is conducted under ISAE 3000, the same standard financial auditors work to. That is what ensures quality and independence and lets other people rely on the opinion.

1. Kick-Off

We align on goals, stakeholders, and the claim you need to support.

2. Scoping

We define the system boundary, criteria, and level of assurance.

3. Fieldwork

Adapts to the engagement type

We gather evidence and/or test the system in the conditions it runs in.

4. Quality review

An independent internal reviewer checks our work before we conclude.

5. Reporting

We issue a report about the engagement that you and your stakeholders can rely and act on.

Attestation engagement

We verify what you reported.

You have already tested your system against a normative framework. We independently verify those results; recalculating outputs, rerunning tests, inspecting datasets and code, and scrutinizing methodology.

Direct engagement

We measure, evaluate, and conclude.

We independently measure and evaluate the AI system itself. The more thorough path, typically chosen when you need to demonstrate genuine due diligence to an external audience.

Some questions we get.

Not sure what exactly you need?

Tell us what you need to demonstrate, and to whom. We will tell you honestly whether independent assurance is the right next step, and what it would take.

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