what we do

Products

A research partner for post-training data — not just an annotation platform.

Most teams treat data as volume to be labeled. We treat it as an experiment to be designed: a hypothesis, expert humans in the loop, measurement, iteration.

This is how models move from benchmark performance → real-world capability.

  1. 01 RL Environments and AgentsInteractive environments where agents take on open-ended tasks and make real decisions, with verifiers built to reward the behavior that matters.
  2. 02 Rubrics and VerifiersObjective verifiable reward from what a response gets right and wrong. It's the checkable signal RLHF's preference labeling can't provide.
  3. 03 Planning & Reasoning TracesTraceable reasoning chains for decisions under uncertainty: maintaining a hypothesis space, weighing evidence, and updating the plan when a late fact changes the picture.
  4. 04 Evaluation BenchmarksOriginal tasks graded by a private verifier, comparing frontier models against failure modes, so labs find the next gap to close.
  5. 05 Human EvaluationHuman judgment for what formulas miss: whether an answer is sound, useful, safe, and actually right, not just plausible.
  6. 06 Expert Professional DomainsData grounded in real expertise, from practitioners at the frontier of the sciences, medicine, law, finance, engineering, and the humanities.
  7. 07 InternationalizationData across many languages, built by native experts who encode each one's grammar, idiom, and worldview, not translations.
  8. 08 MultimodalData that teaches models to see, hear, and watch, understanding and generating across images, audio, and video.
  9. 09 Off-The-Shelf DataPre-built datasets spanning RL environments, coding, and core capabilities. Available immediately, no custom build required.
10 Custom Research Partnerships The list is a starting point, not a menu. As your research partner, we co-design data and environments around the problems you're actually working on — including the ones no one has named yet. get in touch→