AI benchmarking & evaluation

Tasks that test the work a model needs to do. We define scoring criteria, review responses and document where a solution falls short.

What you receive

  • Evaluation tasks and scoring rubrics
  • Reviewed model outputs and error analysis
  • Benchmark reports with the method and scope

What we need to get started

The model or agent workflow, evaluation goals, allowed tools and examples of the outcomes you expect.

How the work is reviewed

We agree on the acceptance criteria before delivery begins. Findings are recorded, corrections are checked and the final files are delivered with review notes.

Scope, team availability and delivery timing are confirmed for the engagement. Read our quality process for the steps and responsibilities.

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Tell us what needs doing.

Share the scope, the expected volume and your timeline.
We’ll work out where our team can help.