Capability / Model evaluation

Evidence for release decisions.

Move beyond headline benchmark scores with clinically grounded evaluation that shows where a model is reliable, where it fails and what to improve next.

Evaluation design

Measure behaviour that matters in practice.

We translate intended use, known hazards and user workflows into rubrics, test sets and review protocols.

Capability evaluation

Accuracy, completeness, reasoning, evidence use and instruction following.

Safety & bias

Harmful omissions, false reassurance, demographic performance and unsafe advice.

Human factors

Usefulness, clarity, workload, escalation behaviour and trust calibration.

Outputs

A clear evidence trail from item to decision.

Deliverables can include scored datasets, adjudication records, failure taxonomies, subgroup analysis and an executive evaluation report.

Start with the specification

Bring us the hard data problem.

Share your modalities, target population, quality thresholds and delivery window. Our team will return a structured programme approach.

Talk to our bid team →