AI Quality, Evaluation & Governance
Evaluate, test and govern AI systems with the same rigour as any critical software: accuracy, safety, cost and compliance, measured continuously.
Overview
Confidence you can show your board.
Non-deterministic systems need a different kind of testing. Building on deep quality engineering experience, we create evaluation datasets, scoring methods and regression checks for model behaviour.
We pair this with practical governance (policies, risk reviews and audit trails) so AI can scale without becoming a liability.
Capabilities
01LLM & agent evaluation
02Red-teaming & safety testing
03Regression & release gates
04AI risk & policy frameworks
05Cost & performance monitoring
06Responsible AI practices
How we engage
From first conversation to running system.
01AssessUnderstand the context, constraints and what success should look like.
02PlanAgree scope, team, milestones and how progress will be measured.
03BuildDeliver in short increments with quality and visibility built in.
04ScaleHand over cleanly, or extend the team as ambitions grow.
What you can expectEvaluation suites tied to business-level qualityRelease gates that catch regressions before users doA governance model that scales with adoption
Let's Build What's Next.
Have a complex challenge or an ambitious idea? Let's explore what's possible.
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