Software engineering
Code evals, debugging, code review, coding-agent evaluation and repo-level reasoning.
Expert capability, built around your problem.
We are not a staffing marketplace. We are a capability provider: we assemble the expert workforce a hard AI data problem requires, then operate it. The product is the judgment of the people doing the work — and the consistency of that judgment at scale.
Contributors are sourced and screened for capability, not availability. Each person is assessed against project-specific standards in their domain before they touch production work, and qualified against your rubrics and gold-standard tasks before they're cleared. The talent advantage is real: a deep, high-skill pool that lets us staff expertise most vendors can't source.
Capability area 01
Technical & computational
Work where the answer can be run, proved or reproduced — and a reviewer has to be able to do all three.
Mathematics & reasoning
Solution verification, reasoning traces, proof checking and hard problem generation.
Computer science
Algorithms, systems reasoning, technical explanation and model-output verification.
Capability area 02
Professional & specialist
Regulated, high-stakes fields where a plausible answer is not enough and the reviewer carries the credential.
Finance
Investment memo evaluation, accounting logic, spreadsheet reasoning and financial analysis critique.
Legal
Contract reasoning, clause comparison, policy analysis and legal output review.
Healthcare & medicine
Terminology checks, clinical-style reasoning and safety-sensitive review.
Capability area 03
Knowledge & language
Source-heavy and language-sensitive work, judged by people who read the way the field reads.
Science
Scientific reasoning, literature-style review, technical explanation and answer verification.
Languages
Translation quality, cultural nuance, localization and multilingual evals.
Research
Source review, reasoning verification and long-form expert critique.
How experts are sourced
Screened for capability, not availability.
A contributor's first proof is project-specific. We recruit against the expertise a project demands, assess that expertise with project-relevant tests, and only then train and calibrate them on your standards.
Recruited to the requirement
We source against the specific expertise a project needs — not a general pool hoping to be matched later.
Assessed on capability
Project-relevant tests measure whether the contributor can actually do the expert judgment the work requires.
Qualified before production
Only contributors who clear project training and gold-task calibration gain production access.
Calibration pipeline
Qualified, calibrated, then checked again.
Experts reach production work only after qualification and calibration. Independent review and adjudication keep their judgement consistent.
Qualification
Candidates are assessed on project-relevant tests.
Quality gateCalibration
Reviewers are held against gold-standard tasks and your rubric.
Quality gateTask routing
Each task goes to reviewers qualified for that domain.
Independent review
Reviewers judge each task on their own.
Adjudication
Where verdicts differ, a qualified adjudicator makes the call.
Disagreement resolved- Review outcomes feed back into reviewer calibration
Start here
Bring the capability you need to build.
Tell us the domain and the quality bar. We'll scope whether we can staff and operate it — honestly, before any work begins.