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AI Evaluation
& Benchmarking

Research-grade assessment for decisions that matter

Research-grade assessment of LLM and agentic AI systems for organizations where deployment decisions have real consequences. We design evaluation frameworks that are valid, reproducible, and tied to your actual use case, not off-the-shelf benchmarks that miss what matters.

  • Custom evaluation framework design tied to your use case and data

  • Vendor and model comparison with decision-grade reporting

  • Rubric development with anchor examples and adjudication workflows

  • AI-judge calibration and human-in-the-loop validation

  • Agentic system evaluation including multi-step reasoning and tool use

Who this is for

Organizations making consequential AI procurement or deployment decisions who need more than a vendor's benchmark scores.

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