Independent technical validation of an AI model before it drives a high-impact decision — robustness, calibration, bias, drift and operational limits, in one defensible evidence pack.
A model that looks strong in a demo can fail silently in production: calibration drifts, a subgroup is mishandled, performance collapses on data it never saw. AI Model Assurance stress-tests the model — not your company — so you find those failures before customers, capital or liability are on the line.
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.
Starts with an AI Model Snapshot (€750); a full Model Assurance Report is from €2,500.
Related: Independent Model Validation · LLM Assurance · Methodology · Pricing · Sample report · Contact
A fast, independent validation pass on your model's outputs — discrimination, calibration, class balance and a sample-size confidence read — returning a Proof Score, a verdict and the top risks, in days.
The Snapshot is a quick independent read; the full Report adds calibration, bias, drift, robustness and failure modes in an 8–12 page, committee-ready evidence pack.
Usually no. We typically work from model outputs, labels or ground truth where available and documentation. Deeper scopes can include more.
Yes. The evidence pack is built to support internal governance, risk committees and partner or due-diligence review. It is not a certification.