Custom Evals
Custom evaluation suites and private benchmarks built to your requirement: agentic metrics that grade end outcomes and process, expert-baselined, refreshed against every frontier release.
Evals aggregated from real work, not imagined in a room
Any team can sit and dream up hero scenarios for what an agent should do. The unsolved part is aggregating those scenarios from real work data: what the workflow actually contains, what done actually means, and where models actually fail. Our expert pipeline exists to answer exactly that, occupation by occupation.
From requirement to running eval
You name the capability, the vertical, or the failure mode. We source the verified practitioners, elicit and author the tasks on real software, compile the rubrics into verifiers, and deliver a private eval suite with an expert baseline and a reproducible harness. Where the requirement is broad rather than role-specific, query sets are sourced across many kinds of users to match the diversity of the real workload.
Evaluation that survives the next release
A custom eval that saturates in one model generation was a bad investment. Ours are built on pinned environments with deterministic verifiers, so every new checkpoint is a reason to re-run rather than rebuild, with fresh variants and harder difficulty bands keeping the headroom legible. You buy the instrument once and measure with it for years.
What ships in the box
Custom engagements start from your requirement, a capability gap, a failing workflow, a vertical you need graded, and work backward to the eval.
Composite scoring that checks the end outcome and the steps, right context found, right artifact produced, right action actually taken.
Every custom eval carries a human baseline from the practitioners who do the work, so scores are legible against expert performance.
Custom evals are never published and never seeded into training data, a separation enforced in our registry, not by convention.
The hardest part of a great eval is defining scenarios ambitious enough to matter. We aggregate them from real work data, not brainstorms.
Each frontier model release triggers a re-run with fresh variants and harder bands, so your eval keeps measuring headroom instead of saturating.
See it before you buy it.
Sample task packets and environment access for evaluation. Tell us the capability you care about and we will send the relevant cut.