14 REGULATIONS. 4 CONTINENTS. ONE EVALUATION. — Colorado AI Act (June 30) · EU AI Act (Aug 2) · NYC LL144 · SR 11-7 · Texas RAIGA · South Korea AI Act · California · Illinois · UK · China · GDPR · Brazil · Canada — View all →

Know the impact of your AI before it’s too late.

Independent validation for enterprise AI. Measure irreversibility, bias, and alignment with your own values.

The cost of unvalidated AI

The companies that needed validation didn't have it.

$2B+
in lawsuit exposure from unvalidated AI deployments
90%
of UnitedHealth AI denials reversed on appeal
0
had independent evaluation before deployment
What makes AI Asset Assurance different

Independence. Diagnosis. Certification.

Three structural advantages no competitor combines. Governance platforms have scale but not independence. Consulting auditors have independence but not scale. AI Asset Assurance has both — plus capabilities protected by 35 patent-pending applications.

Structural independence

We don't sell software to the companies we evaluate. No consulting relationship, no platform license, no conflict of interest. The independence regulators and procurement committees require.

Diagnosis + prescription

Not just a score — the root cause, the exact fix, and the projected improvement. Shapley causal attribution decomposes every finding to the specific variables driving it.

Streamlined evaluation

Upload your AI's input-output data and receive independent evaluation with causal decomposition and prescriptive remediation. Engagement scoped to your systems, jurisdictions, and risk profile.

See the real-world failures that prove why this matters →
Why independent evaluation matters

Your governance platform is not independent proof.

Platforms like Credo AI and Holistic AI help you build governance — but they sell software to the companies they evaluate. Consulting auditors like BABL AI and ORCAA provide genuine independence — but deliver bespoke engagements that take weeks and can't scale. When a regulator, plaintiff's attorney, or procurement committee asks for evidence, they want independent verification you can produce on demand.

GOVERNANCE PLATFORMS
Inventory AI systems. Classify risks. Build policies. Essential — but the vendor selling the software is grading its own test.
CONSULTING AUDITORS
Genuine independence. Rigorous evaluation. But weeks per engagement and limited by human throughput.
YOUR INTERNAL TEAM
Tests for bias. Validates accuracy. Documents compliance. Critical — but internal testing isn't independent testing.
AI Asset Assurance
Independent validation. Causal decomposition. Prescriptive remediation. Patent-protected capabilities.
See detailed comparison table and governance flow →
How we compare to certification standards

AIUC built a standard. We built a different model.

AIUC is the closest category neighbor to AI Asset Assurance: an independent certification model for enterprise AI, backed by Nat Friedman, with UiPath certified in March 2026. They built the AIUC-1 standard and partner with Schellman for the audits. If you're evaluating both, here's how we differ.

DIFFERENCE 1
Streamlined, not audit-gated
AIUC-1 certification requires an authorized auditor like Schellman, with a traditional engagement cadence. AI Asset Assurance delivers evaluation through a streamlined engagement process. Enterprises work directly with our team rather than waiting for an authorized third-party auditor to become available.
DIFFERENCE 2
Customer-authored evaluation criteria
AIUC-1 is a fixed standard that AIUC authored. AI Asset Assurance grounds evaluation in customer-authored Living Constitutions, so the measurement is contextual to what your enterprise actually values rather than what a third party decided matters.
DIFFERENCE 3
Irreversibility + harm-of-inaction
AIUC-1 covers six risk domains where irreversibility appears as a sub-category at most. AI Asset Assurance measures irreversibility and harm-of-inaction as dedicated evaluation dimensions: the impact of what your AI did that it can’t undo, and what it failed to do when action was required.
AIUC is the SOC-2 model for AI agents. AI Asset Assurance is the contextual evaluation model for enterprise AI deployments. See the full landscape →

Start with a discovery call.

We'll scope your AI systems, regulatory exposure, and evaluation priorities. No obligation.

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