Representative tasks
Define the professional work, source material and operating conditions each evaluation covers.
AI benchmarks for
enterprise applications
We develop expert-led tests of AI performance on professional tasks.
Explore our benchmarksReal tasksExpert rubricsTransparent methods
Our benchmarks
Expert-designed evaluations of language, financial reasoning and industrial tasks.
Language & context
Bilingual professional reasoning
Evaluate meaning, terminology and evidence across Canadian English and French.
- Meaning preservation
- Terminology and register
- Evidence consistency
Financial evidence & reasoning
Assess financial calculations, source evidence and the assumptions behind model answers.
- Source-grounded accuracy
- Calculation correctness
- Assumption disclosure
Industrial task reliability
Test how AI follows technical constraints, recognises failures and escalates to human experts.
- Constraint adherence
- Task completeness
- Failure recognition
Benchmark design
and model testing
We build tests around enterprise tasks, define scoring criteria and use domain experts to assess model performance.
Expert-developed rubrics
Specify accuracy, evidence, completeness and domain-specific scoring criteria.
Calibrated human review
Test scoring consistency, assess reviewer agreement and resolve material disagreements.
Reproducible reporting
Document model versions, test settings, sample sizes, scores and evaluation limits.
Custom benchmarks for
your AI systems
Test model performance against your industry’s tasks and standards.