AI evaluation · human reviewers

Human eyes on AI output.

We check AI-generated video and images against your criteria. Trained reviewers score every output and tell you why it passed or failed.

  • Video and image review
  • Scoring rubrics
  • Human reviewers
Viewport · perspectiveModel · Review grid

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The model comes apart as you read.

Keep scrolling: the model separates step by step, then holds at full explode.

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Step 01

A batch arrives

Generated video or images come in as they are, before anyone has judged whether they are good enough to use.

Step 02

Criteria separate

Your rubric splits the judgement into criteria that can be scored one at a time, the same way by every reviewer.

Step 03

Scored, with reasons

Each output is rated against each criterion, and the failures are grouped so you can see the pattern.

What is included

Built around your work.

01

Criteria and rubrics

We turn your quality standards into a rubric reviewers can apply the same way every time.

02

Human review

Trained reviewers watch or look at each output and score it, with a second opinion on anything borderline.

03

Reports you can act on

Pass rates, the reasons things fail and the examples behind them, so you know what to change.

What you get

Handed over, not held back.

Everything is documented, tested against your own examples and yours to keep.

01

A written rubric

Your criteria defined clearly enough that two reviewers reach the same verdict.

02

Scored outputs

Every video or image rated against each criterion, with reviewer notes.

03

Failure breakdown

The categories outputs fail on, ranked, with examples you can look at.

04

Repeat runs

The same rubric re-applied after a model, prompt or pipeline change.

Selected work

Example projects

A look at the kind of work we build, and what each one changes.

Next step

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