Expert teams
for labs.

We train and manage experienced contributors to build training tasks and evaluations.

Expert demonstrations

Worked examples with an expert’s decisions, assumptions and alternatives, reviewed against your brief and reference answer.

RL environments

Instructions, inputs, a runnable environment and reference solution, with a verifier tested against valid and invalid outputs.

Evals and red-teaming

Test cases built around a named failure mode, with expected behavior and a rubric or executable checks.

Agent trajectories

Action sequences, tool observations and resulting artifacts, reviewed for the decisions taken and the final state.

Red-teaming agents
on expert tasks.

Five experts contributed one executable task each, spanning CNC machining, pharmacy, hydrology, transit fares and expense auditing.

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The same brief.
Less for your team to manage.

When your lab runs production

Your researchers train contributors, answer task questions and coordinate the work. They also manage review, revisions and the final handoff.

With DataNow

Our experts arrive trained. We brief them on your project, prepare a first sample and manage production, including questions, internal review, revisions and delivery.

You set the objective, agree on the review criteria and approve the final work.