We partner with AI labs, companies, startups, and research teams to produce the goldens, rubrics, benchmarks, and annotated datasets behind their models — delivered as structured data, ready for your pipeline.
Every deliverable runs the same pipeline — from scoping to structured-JSON delivery.
We align on the capability under test, the deliverable schema, and what 'good' means before any data is produced.
Senior authors write the reference goldens — ideal responses and trajectories — that everything else is measured against.
We author rubric verifiers with criterion, justification, and evidence — calibrated to the difficulty target.
Contributors execute the task under clear guidelines; every submission is traceable and evidence-grounded.
Quality leads review submissions in layers — catching noise, calibration drift, and spec violations before delivery.
Where applicable, we run candidate models in Docker with pytest-based scoring for fully reproducible results.
Final artifacts ship as structured JSON with patches, logs, and taxonomies — ready to drop into your pipeline.
Reference answers and trajectories, not just labels.
Every rubric judgment cites its evidence.
Re-run our benchmarks on your side, bit for bit.
Difficulty tuned so top models genuinely fail.
Book a 30-min scoping call
Pick a time that works — no back-and-forth.
Scheduling opens once our Cal.com link is connected. In the meantime, reach us by email and we'll send times.
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