Specialized Agents
Custom agents for specialized enterprise workflows.
Programmatic data platform expanding into expert evals and RL environments
Snorkel AI, born from the Stanford AI Lab's Snorkel project, provides programmatic data labeling and an expert data service, and now builds agent evaluations and RL environments for frontier model developers. Its research arm publishes benchmarks including a senior software engineering eval.
Senior SWE-Bench benchmark work
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | snorkel.ai/research |
|---|---|
| Domains | Multi-Domain, Coding, Machine Learning, Data Labeling, RLHF |
| Location | San Francisco, Redwood City, New York |
| Team size | 101-250 |
| Founded | 2019 |
| Funding | Series D, $100M at $1.3B valuation (2025) |
| Founders | Alex Ratner, Christopher Ré, Paroma Varma, Henry Ehrenberg |
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Legacy classification; source migration pending
Unknown. No source-backed catalog capability record is available yet.
Products and services supported by official company materials. Reviewed 2026-08-16.
Custom agents for specialized enterprise workflows.
Agent benchmark and leaderboard published by Snorkel.
Terminal-agent benchmark work published by Snorkel.
Coding-agent benchmark published by Snorkel.
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, Coding, Machine Learning, 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 |
| Akhara Enterprise and code RL environments | Enterprise, Coding | Pure-play commercial Catalog unknown | San Francisco | 1-10 | - | Unknown |
| Anthromind Medical and long-horizon environments and expert data | Medical, Long Horizon, Data Labeling | Data + environments 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 |