Access the trajectory pipeline.
For frontier AI labs, agent teams, and data buyers training or evaluating agentic reasoning models. We're opening early, non-exclusive access as the first datasets come online: dataset-card review, private evaluation packs, and strategic lab partnerships.
Three ways to engage.
The pipeline is sold as a serious data product, not a public download. Qualified partners can start with artifacts and move toward feed access.
Dataset diligence
Start with the dataset card, schema, sanitized sample records, and the current evidence snapshot.
Feed access
Discuss non-exclusive access to a data feed that compounds with each verified solve, as it comes online.
Strategic partnership
Extend the relationship into private evaluation packs, failure-mode telemetry, and lab-specific probes.
Start with a precise inquiry.
Send a short note describing your lab/team, intended use case, and whether you are interested in training data, evaluation packs, or strategic partnership.
| Fit | Use case |
|---|---|
| Frontier model labs | Reasoning-model training, reward modeling, agentic evaluations. |
| Agent teams | Failure-mode analysis, tool-use trajectory learning, self-correction research. |
| Data buyers | Continuous verified trajectory feed and private evaluation packs. |
Straight to signal fit.
You evaluate agentic data for a living, so we won't narrate the process. The first call is a direct, technical conversation about whether these records fit your stack — sanitized samples up front, production access under agreement.