Fueling the next era ofArtificial Intelligence.
Human expertise, at the speed of intelligence. We help AI labs and enterprises procure, evaluate, and moderate the datasets their models are trained and tested on.
- Source
- Produce
- Review
- Grade
- Deliver
Matching domain experts to the brief
Enterprise-grade AI,
built on trust.
We de-risk every stage of your model lifecycle — from the data that teaches it to the humans who make it think.
All three services run as one managed pipeline — scoped, staffed, and reported by a single team.
Request a scoping callTask coverage
Benchmarks and task types we staff, end to end.
Long-horizon agentic tasks, code-repair benchmarks, multimodal QA — our teams design and staff the pipeline end to end.
Mathematics
Proof reasoning, symbolic manipulation, and competition-level problem sets graded against worked solutions.
Life sciences
Biology, medicine, and interpretation of primary research literature.
Law & economics
Statutory analysis, contract review, and applied economic reasoning.
Physics & chemistry
Quantitative reasoning, lab protocol review, and derivation checking.
Software & agents
Repo-level engineering, terminal workflows, and tool-use traces captured from real debugging sessions.
Humanities & language
History, linguistics, and multilingual evaluation across locales and scripts.
Domain coverage
Depth across the fields your model is judged on.
We recruit against the subject matter, so a chemistry eval is graded by chemists and a repo-level task by engineers who ship.
Coverage spans STEM and the humanities, and we build new domain benches when a project needs one that doesn't exist yet.
Why teams choose us
Precision that compounds across every batch.
Four operating principles turn complex AI work into dependable, repeatable delivery.
Domain-vetted experts
Qualified specialists are screened for the subject matter, then calibrated on your rubric — not pulled from a generalist crowd.
Benchmark-grade rigor
Pipelines are modeled on the standards used by leading evaluation suites and research teams.
Secure by default
NDA-first engagements, controlled access, and clear audit trails protect every project.
Flexible scale
From a small pilot batch through to multi-thousand-task delivery, on the same pipeline.
One pipeline, same rubrics
FAQ
Questions before a first project.
The details teams usually want settled before scoping — from who does the work to how your data is handled.
Ready to scope a project?
Turn your next AI data or evaluation challenge into a clear delivery plan.
Tell us what you are building, where quality is breaking down, and what a successful result needs to prove.