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Independent Model Validation for AI Systems

Third-party validation for teams that can't mark their own homework — for fintech, banking, scoring and regulated workflows where a committee needs evidence, not assurances.

The problem

Self-validation carries a conflict of interest: the team that built the model is also grading it. Independent validation removes that conflict. We reproduce the analysis, challenge the assumptions and produce evidence a risk committee, partner or auditor can actually rely on.

What we validate

  • Reproduction of key results
  • Assumptions and data leakage
  • Performance, calibration and stability
  • Bias and subgroup behaviour
  • Documentation completeness
  • Challenger / benchmark comparison

What you receive

  • An independent validation evidence pack
  • Proof Score and technical verdict
  • Gaps and risks, prioritized
  • Governance-ready documentation

Who it's for

Method, in brief

One principle: before trusting a system, we try to break it — in a controlled, documented way. We work across context, data, performance, calibration, robustness, bias, drift, fragility, overfitting and operational risk, then summarize a Proof Score and recommendations.

Pricing

Typically delivered as a Model Assurance Report (from €2,500) or an MRM Validation Pack (from €7,500).

Note. Validation evidence and documentation support — not official compliance certification.

Related: Model Risk Management AI · Technical AI Act Model Audit Support · Methodology · Pricing · Sample report · Contact

FAQ

Frequently asked questions

Why use an independent validator?

Independence removes the conflict of a team grading its own model, so a committee, partner or auditor can rely on the evidence.

How is this different from internal validation?

We reproduce and challenge your results with no stake in the outcome, and document gaps an internal review may overlook.

What does the evidence pack include?

Reproduced results, assumptions and data checks, performance, calibration and stability, subgroup behaviour, a Proof Score and prioritized gaps.