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LLM Evaluation Audit

Independent review of your LLM eval suite and methodology.

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The problem we solve

You have evals but you're not sure they actually catch the failures that matter.

Symptoms we see

  • Eval scores stay high while users complain
  • Coverage gaps in edge cases and safety
  • Over-reliance on a single metric
  • No regression gating in CI

Risks if ignored

  • False confidence
  • Missed regressions
  • Wasted compute
  • Slow release cycles

Our process

  • Review eval datasets and judge prompts
  • Benchmark against representative production traffic
  • Identify metric gaps and judge bias
  • Recommend new datasets, judges, and CI gates

What you get

  • Eval coverage matrix
  • Judge calibration report
  • New dataset and judge templates
  • CI gating implementation plan

Ready to scope this engagement?

Tell us about your system, timelines, and constraints. We'll respond within one business day.

Request a scoping call