Expert Training and Evaluation Data
Expert human data for model training, evaluation, and alignment.
Expert data workforce for RLHF, evals, and tool-use environments
Pareto AI runs a managed expert workforce producing labeled data, RLHF, and evaluation/environment work for AI labs across many domains. It is behind the Leap and Attune benchmark efforts.
Leap and Attune benchmarks
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | pareto.ai |
|---|---|
| Domains | Multi-Domain, Tool Use, Data Labeling, RLHF |
| Location | San Francisco |
| Team size | 26-50 |
| Founders | Phoebe Yao |
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Unknown. No source-backed catalog capability record is available yet.
Products and services supported by official company materials. Reviewed 2026-08-16.
Expert human data for model training, evaluation, and alignment.
Verified public artifacts and documented private commercial inventory.
Structured sources have not yet been migrated for this profile.
Company representatives and researchers can propose sourced changes. Submissions do not directly overwrite editorial data.
Also listed under Multi-Domain, Tool Use, Data Labeling, RLHF.
| Name | Domains | Type / catalog | Location | Team | Funding | Raising |
|---|---|---|---|---|---|---|
| Rise Data Labs RL environments and tasks across multiple domains, supported by a large expert network | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | Data + environments 3 artifacts | New York, United States | 11-25 | - | Unknown |
| AfterQuery Expert human data and RL environments across code, finance, and computer use | Multi-Domain, Coding, Finance | Pure-play commercial 1 artifacts | San Francisco, New York, Seattle | 51-100 | $30.5M total (reported) | Unknown |
| Anthromind Medical and long-horizon environments and expert data | Medical, Long Horizon, Data Labeling | Data + environments Catalog unknown | San Francisco | 1-10 | - | Unknown |
| Artificial Analysis Independent benchmarking of AI models across intelligence, speed, and price | Multi-Domain, Machine Learning | Pure-play commercial Catalog unknown | San Francisco | 11-25 | $2.6M (2024) | Unknown |
| Chakra Labs Dojo: a hub of computer-use and tool-use environments | Computer Use, Tool Use | Pure-play commercial Catalog unknown | Brooklyn | 11-25 | ~$10.1M (reported) | Unknown |
| Datacurve Frontier coding data and repository RL environments via the Shipd bounty platform | Coding, RLHF | Data + environments Catalog unknown | San Francisco | 26-50 | Series A, $15M led by Chemistry (Oct 2025); $17.7M total | Unknown |