Preference and Reward Data
Training data for preference and reward modeling.
Stealth startup working on preference and reward modeling
Preference Model is a stealth-stage company working on preference/reward-modeling signal quality and code environments for frontier training.
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | preferencemodel.com |
|---|---|
| Domains | Machine Learning, Coding |
| Location | San Francisco, Toronto, Seattle |
| Team size | 11-25 |
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.
Training data for preference and reward modeling.
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 Machine Learning, Coding.
| 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 |
| Akhara Enterprise and code RL environments | Enterprise, Coding | Pure-play commercial Catalog unknown | San Francisco | 1-10 | - | Unknown |
| Applied Compute Ex-OpenAI trio applying RL to build specialist enterprise models | Enterprise, Machine Learning, Custom Environments | Pure-play commercial Catalog unknown | San Francisco | 11-25 | $80M total at $700M valuation (Oct 2025) | Yes |
| 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 |
| BenchFlow Open-source benchmark hub and eval infrastructure for agents | Enterprise, Browser, Coding | Pure-play commercial Catalog unknown | San Francisco | 1-10 | ~$1M (reported) | Unknown |