We build the teams
that teach AI.

We train and manage experienced contributors so they can turn their expertise into data AI can learn from.

181×the average output per enrollee.

Our 4 experts completed about 8% of all tasks on a project with 9,000 enrollees.

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Our experts come from

The problem

A crowd isn’t a bench.

Access to thousands of contributors still leaves a lab with a hard job: finding people who can write a task a model actually fails, then explain why it failed.

Every task needs clear instructions and a way to judge the answer. When that work falls back on your researchers, a large contributor pool can become another project to manage.

A crowd crossing, seen from above and blurred by motion

Our solution

We teach experts how to train machines.

Our experts know their field. We teach them how to turn that knowledge into useful training tasks. Those are two different skills.

We use lessons from contributors’ own projects to train the team, then work with you on the brief and a first sample. You agree the review criteria before production begins. We make sure your experts are trained and ready from day one, then manage the work against those criteria.

Explore our capabilities

Built around the work.

Executable tasks

A task brief, working environment, reference solution and executable checks.

Includes
Inputs + reference answer
Review
Executable checks
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Evaluations & rubrics

Scoring criteria and test cases that separate correct results from plausible answers.

Includes
Criteria + test cases
Review
Recorded results
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Expert workflows

Worked examples that explain the decisions, tools and intermediate work behind a finished result.

Includes
Steps + working artifacts
Review
Agreed with your team
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