Enterprise System Simulations
Simulated copies of enterprise systems, data, APIs, and users for agent testing and training.
High-fidelity simulated environments to train enterprise AI agents
Veris AI lets companies train and test AI agents in high-fidelity simulations of their real tools and workflows, so agents learn from experience rather than prompting alone. Early customers span financial services, enterprise productivity, and manufacturing.
Emerged from stealth June 2025
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | veris.ai |
|---|---|
| Domains | Enterprise, Custom Environments, Simulation |
| Location | New York |
| Team size | 1-10 |
| Funding | Seed, $8.5M (Decibel and Acrew, June 2025) |
| Founders | Mehdi Jamei |
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.
Simulated copies of enterprise systems, data, APIs, and users for agent testing and training.
Agent training and improvement loops built on simulated enterprise systems.
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 Enterprise, Custom Environments, Simulation.
| 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 |
| 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 |
| 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 |
| Collinear Enterprise simulation, judges, and long-horizon trajectory generation | Enterprise, Long Horizon, Machine Learning, Simulation | Pure-play commercial Catalog unknown | Mountain View, Sunnyvale | 11-25 | - | Unknown |
| Halluminate Sandboxed RL environments for finance and enterprise workflows | Finance, Enterprise, Browser | Pure-play commercial Catalog unknown | San Francisco | 26-50 | - | Unknown |