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Benchmarking workflows that matter

Evaluation harnesses built on your own data: champion vs. challenger, held-out metrics, human-in-the-loop checks — tied to business outcomes, not leaderboard scores. Know what a model or an agent will do for your customers before it ever touches them.

Deliverables

What you get

  1. 01

    A harness on your data

    An evaluation pipeline built on your own examples, your own edge cases, your own failure history — the situations a generic benchmark never covers.

  2. 02

    Champion vs. challenger

    Your current approach scored head-to-head against the candidate: the model you're considering, the agent workflow you're prototyping, the vendor you're evaluating. Same data, same metrics, no spin.

  3. 03

    Held-out metrics, reported straight

    The numbers measured on data neither side saw during development — including the ones that make a candidate look bad. Metrics you could bet the roadmap on.

  4. 04

    Human-in-the-loop checks

    Where outputs touch customers or decisions, structured human review: sampled, scored, and priced against the error budget. You learn what review costs before you're committed to it.

  5. 05

    A rerun playbook

    Documentation your team can run themselves next quarter — new data in, new scores out — so the evaluation keeps working after the engagement ends.

Shape

How it runs

Three to six weeks. First the harness: your data turned into scored test sets with the metrics that matter to the business. Then the matchup: champion vs. challenger run cleanly, with held-out data and the failure cases written up plainly. You get a report a product lead can act on — ship it, fix it, or kill it — and a playbook so your team can rerun the whole thing.

Fit

Who it’s for

Teams about to ship — or about to buy — an AI system and needing an honest answer first. Model vendors and internal champions bring demos; this engagement brings the part demos skip: what it does on your customers’ data, with the bad news included.

Boundaries

What’s explicitly not included

  • Training a model from scratch as part of the evaluation — the harness judges candidates, it doesn't build them.
  • A deployment or integration plan. The answer to “does it work” comes first; wiring it in is a separate engagement.
  • Financial, investment, legal, or tax advice — this is technical advisory only.

Begin

Tell us what you’re trying to build.

A short note about your team, your data, and the decision you’re stuck on is the best way to start. You’ll hear from the principal, not a sales team.

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