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 person.

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

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Our experts come from

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

We teach experts how to train machines.

Our experts know their field. We train them with lessons from their own projects, then work with you on the brief and a first sample. You agree on the review criteria before production begins, and we manage the work against them.

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What we build.

Executable tasks

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

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Evaluations & rubrics

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

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Expert workflows

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

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