Data quality you can measure,
not just a promise.
Every task, reviewed.By ops leads, controllers and engineers.
- ReviewersDomain practitioners, vetted and paid
- AgreementMulti-rater, reported per split
- AuditsReward-hacking and leakage checks
- SplitsHeld-out, refreshed monthly
What every delivery includes
Review
Expert sign-off
Each item is checked by a practitioner in the domain, with a second reviewer on a sampled subset.
Agreement
Inter-rater statistics
Agreement scores per split and per task type, so you know where labels are solid and where they're contested.
Robustness
Reward-hacking audits
Strong policies attack every grader before release. Findings and fixes are documented in the report.
Hygiene
Contamination checks
Held-out splits are screened against public data and previous deliveries, then refreshed on a schedule.
Our QA process
Three passes before anything ships.
Automated checks
Schema validation, rebuild tests for CAD, deterministic replay for environments and PII scans for org data.
Expert review
Practitioners grade correctness and realism, with disagreements resolved by a senior reviewer.
Adversarial audit
Red-team policies probe graders for shortcuts. Anything exploitable is fixed or removed.
Who are your reviewers?
Working professionals in each domain: operations and finance staff for organizational data, mechanical engineers for CAD.
Can we audit the QA ourselves?
Yes. Every delivery ships with per-item review logs and the full audit report.
Do you offer evaluation-only engagements?
Yes. We can build private held-out benchmarks for your models without delivering training data.