Finance Reinforcement Learning
Finance-domain reinforcement-learning programs built from records of real decisions.
Finance-domain RL environments
Dissei is a London-based startup building finance-domain environments for training and evaluating AI models on financial workflows.
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Products and services supported by official company materials. Reviewed 2026-08-16.
Finance-domain reinforcement-learning programs built from records of real decisions.
Long-horizon environments based on financial deal work.
Finance benchmarks and evaluation programs.
Ready-made commercial finance datasets.
Supervised fine-tuning data based on analyst trajectories.
Verified public artifacts and documented private commercial inventory.
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Also listed under Finance.
| 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 |
| General Reasoning Open reasoning data and reward models from the ex-Meta AI reasoning lead | Finance, Long Horizon, Machine Learning | Pure-play commercial Catalog unknown | London, San Francisco | 1-10 | ~$10.9M (reported) | Unknown |
| Halluminate Sandboxed RL environments for finance and enterprise workflows | Finance, Enterprise, Browser | Pure-play commercial Catalog unknown | San Francisco | 26-50 | - | Unknown |
| Vals AI Independent domain-specific benchmarks for legal, finance, and tax AI | Legal, Finance, Medical | Pure-play commercial Catalog unknown | San Francisco | 1-10 | - | Unknown |