Approach

Start from the decision

An evaluation is only useful if it changes what you do. We start by naming the decision (ship or hold, switch models or stay, where to spend engineering time) and design the evaluation to answer it.

Judge the trajectory, not just the answer

Agents fail in the middle: fabricated tool arguments, redundant calls, errors quietly ignored. A plausible final reply can hide all of it, so we evaluate every step.

Trust a judge only as far as agreement allows

A single LLM judge is noisy and not consistently strict or lenient. We use several judges from different providers, report where they agree, and send the disagreements to human review.

Measure the agent, not the environment

Test environments return empty data, replays change behavior, and metrics can end up measuring the setup instead of the agent. We check for this before reporting a number.

Be honest about limits

Every report states what was not measured and what would make the result stronger.

Vendor-neutral

We don't sell a platform or earn from your tooling choices. We work with the stack you have and recommend changes only when the evidence supports them.

Your data stays yours

We're happy to work under NDA, inside your environment, with the minimum data access the evaluation needs.