01 · AI Solutions
AI Model Testing and Evaluation
Proving the model works on data it has never seen - including the cases where it must not fail.
AI Solutions
AI Model Testing and Evaluation
Proving the model works on data it has never seen - including the cases where it must not fail.
Showing 1 of 5
- 1Define metrics
- 2Test on held-out data
- 3Analyse errors
- 4Adversarial testing
- 5Client acceptance
What We Do for You
- Test on data the model has never seen.
- Choose metrics that match the cost of being wrong.
- Read the failures by category, not just the score.
- Check performance across the groups it will affect.
- Attack it deliberately before your customers can.
How this is bought: Bought as a one-off assessment with a written report and a priced plan of action. Build an estimate for your case.
Our Approaches Explained
Held-out and cross-validation testing
Measuring performance on data kept aside, not on what the model already studied.
Metric selection
Choosing measures that match the cost of being wrong: precision, recall, F1, AUC, RMSE, calibration.
Error analysis
Reading the failures by category to find the pattern, rather than reporting one score.
Fairness and subgroup testing
Checking performance across the groups the system will touch, and recording differences.
Robustness and adversarial testing
Deliberately noisy, malformed and hostile inputs, including prompt injection for language systems.
Human evaluation
Expert review where the answer cannot be scored automatically, with a written rubric.
Acceptance testing with the client
The business confirms the model meets the criteria agreed at engineering stage.
Documentation
A model card recording intended use, limits, test results and known failure modes.
The Standards We Work To
OWASP Top 10 for LLM ApplicationsNIST AI RMF measure functionModel cardsStatistical significance testing
We follow the structure and controls these standards describe. We do not claim to be certified against them - where you need a formal certificate, we prepare the evidence and an accredited body performs the audit.
What You Get
- Test plan and metric rationale
- Evaluation report
- Error and subgroup analysis
- Red-team findings
- Model card
Models with a written model card100%
Subgroup performance reported90%
Adversarial tests run before release93%
These are the areas clients most often ask us to improve. Your project sets its own targets, measured and agreed with you.