AI EVALUATION
AI assurance & robustness
Test what happens beyond the easy examples.
Average performance can hide gaps across environments, languages and difficult cases.
The human contribution
Diverse human-generated test cases, ambiguous examples and expert assessments of model responses.
The structured dataset
Held-out benchmarks, scenario coverage maps, error taxonomies and review criteria.
Where it helps
Evaluate reliability, unsupported answers and performance variation before deploying an AI system.
Collection scope, availability, participant permissions and permitted use are defined for each engagement.
Discuss a data program ↗