Machine Commons — data curation for frontier model training
We transform raw, messy, domain-rich information into clean training signal that helps frontier models learn the right skills.
- We build high-quality datasets, evaluation sets, and post-training corpora for frontier AI labs.
- We turn expert workflows, proprietary knowledge, and unstructured source material into model-ready training data.
- Our curation process is built for precision, provenance, and iteration, so teams can improve models with signal they can trust.
What we work on:
- Reasoning traces for complex, multi-step work
- Domain-specific benchmarks and evaluation suites
- Instruction, preference, and verifier data for post-training
- Secure data pipelines for sensitive source material
Here are some other ways to get in touch:
- Apply here - if you're interested in joining the team
- Email us - for labs and other inquiries
Built for the teams training the next generation of models.