Know what your AI systems actually do.
Independent testing of models, agents, and AI-driven workflows. We measure behavior against the properties your organization depends on, and report what holds, what breaks, and why.
Evaluation across the lifecycle of an AI system.
Model & system testing
Structured tests of accuracy, consistency, and failure modes for the models and AI features you use or ship.
Agent evaluation
How agents plan, use tools, hand off tasks, and recover from errors, measured on realistic scenarios rather than demos.
Structural reliability audits
Identifying the properties a system must preserve as it transforms information, and testing whether it does.
Benchmarks & test suites
Custom benchmarks and reusable test suites built around your domain, so evaluation continues after the engagement ends.
A defined scope, a measurable result.
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Scope
We agree on the system, the questions that matter, and what a good result looks like.
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Design
We define the properties to test and build the cases, data, and metrics to test them.
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Evaluate
We run the evaluation, including edge cases and adversarial scenarios.
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Report
You receive findings, evidence, and prioritized recommendations.
What you receive.
- Findings report
- A clear account of what was tested, what held, what failed, and the evidence for each.
- Risk priorities
- Issues ranked by impact, with practical recommendations.
- Test assets
- The cases and test suites used, where relevant, so results can be re-run.
- Review session
- A walkthrough of the results with your team.
Have a system that needs to be tested?
Describe it briefly and we will propose a scope.