AI Evaluation & Safety

Know how your AI behaves before your customers do.

We test and monitor AI systems you already run: accuracy, hallucination, bias, security and cost. You get a scorecard, the fixes, and monitoring that catches regressions after each model update.

What we build

Where it pays off.

Typical use cases we design, build and run for clients.

  • Evaluation suitesTask‑specific test sets and automated scoring for every release.
  • Red‑teamingPrompt‑injection, data‑leak and misuse testing.
  • Bias testingOutcome checks across demographic groups, before launch and on a schedule.
  • LLMOps monitoringQuality, latency and cost dashboards with alerts.
01How it runs

From first call to production.

Discover

Define the decision

Map the workflow, data and the outcome we will measure.

Prototype

Prove it on real data

A working build scored against an agreed evaluation set.

Ship

Integrate & secure

Connect your systems, add guardrails, access control and logging.

Operate

Measure & improve

Dashboards, alerts and regular outcome reviews.

What you get

Deliverables

Quality scorecardTest datasetsGuardrailsRed‑team reportMonitoring & alertsCompliance evidence
Typical stack · model‑agnostic
PromptfooLangfuseArizeGuardrailsOpenTelemetry

Start with an AI Launchpad

A working prototype of your ai evaluation & safety use case, tested on your data, before you commit to a full build.

Book a scoping call →
Let's build with purpose

Let's scope your ai evaluation & safety project.

Share the problem and the systems involved. We will come back with a plan, a timeline and how we would measure success.