Model builders, researchers, agent developers, robotics teams and enterprises all face the same question: how do we know the AI is doing the work correctly?
Your model passes every benchmark and still fails in production.
We supply specialists who grade outputs against your quality bar and write the corrections your model learns from.
You need ground truth that only a practitioner can produce.
Expert-authored rubrics, adjudicated labels, and agreement statistics you can report in a paper.
A plan that looks right on screen can break something in the real world.
Engineers and technicians review robot plans, teleoperation demos, and failure logs for physical and safety errors.
Whatever your system produces, we put calibrated specialists on the part that can't be automated.
Specialists grade model outputs against your rubric and explain exactly why an answer fails.
Multi-turn runs of coding, research and workflow agents, reviewed for silent failures that tests miss.
Preference rankings, demonstrations and corrections written by people who know the field.
Adversarial testing that probes the failures only a practitioner would think to try.
We turn your quality bar into criteria that experts can apply consistently.
A calibrated, quality-checked team that scales with your volume and holds your standard.
The same train-test-deploy method, applied across the most demanding fields.
An agent is refactoring election-timer logic in a Raft cluster that sees transient split-brain partitions.
64-year-old with NSTEMI and CKD stage 3b (eGFR 34). The model drafts the early management plan.
Drafting termination provisions for an acquirer in a Delaware-governed merger agreement.
Designing a synthetic route to nitrogen fixation in cereal root tissue.
A vision-language-action model plans a pick-and-place for a lab robot moving a glass vial beside an active hot plate.
Risk-model review, statement reconciliation, scenario audits and quantitative reasoning checks.
Your internal procedures, taxonomy and safety protocols, turned into a custom expert pipeline.
Every specialist works the same private set of standard cases, subtle traps, and adversarial edge cases. We compare their answers to verified ground truth and you choose the bar they must clear before touching live work.
Distributed-systems code review
Illustration
Seven applicants, same private test. Move the bar to see who qualifies.
3 of 7 qualify. Résumés looked similar. Scores did not.
Tell us what you are building. Any team, any project, any size. We find the specialists, train them on your standard, and evaluate the work against what your project actually needs.