High-quality training data, built by domain experts.
We build bespoke evaluation benchmarks and training datasets for leading AI labs — RLHF, code, STEM, and safety data designed by working specialists.
Six dataset primitives for frontier AI.
Each suite is authored by working specialists, graded by independent reviewers, and shipped in your preferred schema.
Built for quality, calibrated for scale.
Quality-first process
Every dataset is authored by working specialists in the domain, then graded by independent reviewers against an explicit rubric.
Rapid delivery pipeline
Tight feedback loops with the research team, daily batches in flight, and continuous calibration mean shorter iterations.
Domain expert network
STEM PhDs, software engineers, and safety researchers — vetted, calibrated, and matched to the work that fits their depth.
Cost-effective at scale
Tiered staffing and reusable rubric infrastructure keep per-example cost predictable as the program scales.
A project, end to end.
Brief
We meet your research leads to scope the failure modes you want closed, the schema you need, and the success criteria you'll grade against.
Source & calibrate
Domain experts are staffed from our network, calibrated on a gold set, and onboarded into the project-specific rubric.
Deliver & iterate
Datasets are shipped in your preferred schema with rubric scores and reviewer trails. Continuous review keeps the dataset alive as your models evolve.
Join the data engine powering frontier AI Labs.
Tell us about the failure modes your model still has — we'll come back with a sourcing plan.