Some data work survives crowd labor. The work that decides whether a model ships doesn't. We field specialists for the tasks where being right takes real expertise, and being wrong is expensive.
Domain experts producing high-signal preference data, calibrated for consistency across raters and over time.
Rubric design and structured human evaluation for frontier capabilities: reasoning, code, and specialist domains.
Adversarial probing by operators who understand both the threat model and the domain, surfacing failures generic testers miss.
Embed our people, or hand us the outcome. The bar doesn't change.
Calibrated specialists placed directly into your pipeline, working in your tools, to your rubrics. Days to ramp, not the weeks a requisition takes. You direct the work; we stand behind the people who do it.
Hand us the workflow. We staff it, run it, and answer for the output against agreed service levels. One counterparty, not a roster to manage yourself.
From scope to calibrated output in days.
The lowest-friction way in: a two-week data quality audit.
You hand us a sample of your labeled or preference data. Independent experts re-review it against your own rubrics, blind to the original judgments, and we report where quality is leaking, why, and what to change.
We'll come back with the bench, the calibration plan, and where quality will be measured.