Long-Horizon Knowledge-Work Tasks
Private commercial long-horizon tasks spanning multiple knowledge-work domains.
RL environments and tasks across multiple domains, supported by a large expert network
Rise Data Labs builds RL environments and tasks across multiple domains, supported by a large network of experts. Its offering includes custom environments, reward engineering, RLHF and preference data, multi-agent workflows, and adversarial testing for AI labs and enterprise teams.
Runs an Automated Talent Engine of 500,000+ US professionals, 98% college-educated or higher.
| Website | risedatalabs.com |
|---|---|
| Domains | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments |
| Location | New York, United States |
| Team size | 11-25 |
| Founders | Vivian M. Chen |
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
company-reported; see profile sources
Products and services supported by official company materials. Reviewed 2026-08-16.
Private commercial long-horizon tasks spanning multiple knowledge-work domains.
A private commercial catalog of finance tasks for RL training and evaluation.
A custom environment-development capability based on a buyer’s workflows, tools, data, and success criteria.
Verified public artifacts and documented private commercial inventory.
Private commercial long-horizon tasks spanning multiple knowledge-work domains.
A private commercial catalog of finance tasks for RL training and evaluation.
A custom environment-development capability based on a buyer’s workflows, tools, data, and success criteria.
Company representatives and researchers can propose sourced changes. Submissions do not directly overwrite editorial data.
Also listed under Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments.
| Name | Domains | Type / catalog | Location | Team | Funding | Raising |
|---|---|---|---|---|---|---|
| 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 |
| ARIMLABS Security and long-horizon environments for agentic AI | Cybersecurity, Long Horizon | Pure-play commercial Catalog unknown | Warsaw | 11-25 | - | 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 |