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Independent AI & Data Assurance

Independent AI/Data oversight, at the top.

Vendor-agnostic. Stack-independent. Board-ready. We test your data and technical controls, and deliver the ironclad assurance your board needs.

Speak with an AI Advisor →
🇪🇺 EU AI Act ◆ AI Omnibus Law ◆ GPAI Compliance ◆ High-Risk AI Deadlines ◆ Synthetic Content Tags ◆ Mandatory AI Sandboxes ◆ 7% Global Fine ◆ EU AI Office ◆ 🇬🇧 UK ICO ◆ DSIT AI Framework ◆ Data Protection Audit ◆ UK Growth Zones ◆ AI Risk Mitigation ◆ 🇺🇸 FDA Style Approval ◆ Federal AI Mandates ◆ Grid Infrastructure Codes ◆ High Impact AI ◆ US AI Safety ◆ AI Assurance Ready ◆ Audit Your Models ◆ Compliance Shift 2027 ◆ Watermark Your AI ◆ Risk Class Verification ◆
Why independence

We build no models and license no platforms.

Most AI assurance is sold by the people who built, deployed or resold the system. The vendor wants the model trusted. The platform wants the dashboard believed.

We hold no such position. Which is the only reason our opinion is worth anything to a board, a regulator or an investor.

How we work →
34%
of material AI systems are under any form of independent assurance
52%
of data feeding live models has verified, traceable lineage
41
days — median gap between a control failing and the board hearing about it
240
independent reviews conducted, 2024–2026
A dashboard reading live model telemetry
The problem, plainly You cannot trust a decision you have not verified. Most AI systems rest on data nobody has checked.
Insight CircleIndependent AI & data assurance · est. 2026
Advisory board

The people who sign the opinion.

See our findings →
A dashboard reading live model telemetry
Assurance capabilities

Before you trust your AI, trust your data.

We trace every dataset feeding a live model back to its source — and tell you, independently, whether it holds.

Book an assessment →
AI/Data frameworks

Mapped against the standards that matter.

01 — EU AI ACT

Risk classification

Systems mapped against risk tier, obligations checked, evidence gaps flagged before an auditor finds them.

02 — ISO/IEC 42001

Management system

The governance structure behind the models — roles, records and controls — tested against the standard.

03 — NIST AI RMF

Risk framework

Govern, map, measure, manage — the four functions checked against how the system actually runs.

A working session around a boardroom table
Why independence We build no models and license no platforms — which is the only reason our opinion is worth anything to a board.
See the framework map →
Governance Watch

The breaches we study so yours don't happen.

Our capabilities →
An empty boardroom with a city view
Start here

Bring an independent view to the next board meeting.

Thirty minutes, no pitch. Bring one AI or data decision you rely on and we will pressure-test it with you.

Speak with an AI Advisor → A confidential 20-minute session with our AI Advisor on your stack and vendor footprint.
Run AI Gap Assessment 4-minute assessment — get your module recommendations, risk rating and a budget estimate by email.