Simulation vendors
Simulated systems let agents practice tasks before interacting with live environments. Compare the simulated domain, source material and deployment evidence.
Simulation vendors
13 vendors. 1 state they have a SOC 2 Type I or Type II report and 4 state they can run in a customer's cloud or on-prem. These are sourced statements, not independent verification. Pending and unspecified SOC 2 claims are excluded.
— means not publicly listed or not confirmed; it never means zero or “No”. Checked is the date a company’s facts were last checked, and each fact on its profile links to its source.
| Compare | Vendor | Offerings | Domains | Data sources | Funding | Checked |
|---|---|---|---|---|---|---|
| AIChampAIChamp provides robotics and AI teams with proprietary simulated environments and physics-verified evaluations for robot policies, running large-scale trials and returning scores, videos, trajectories, and failure analysis before real-world deployment. | RL envs, Evals, Simulation | Robotics and physical | Synthetic | — | 2026-09-29 | |
| Andon LabsAndon Labs sells custom evaluations and benchmarks to AI labs and developers, testing AI agents in simulations and real-world deployments across business operations, spatial reasoning, computer use, and robotics. | Evals, Simulation | Multi-domain, Computer use, Robotics and physical | Synthetic | $500K | 2026-09-29 | |
| Applied IntuitionApplied Intuition sells simulation, data and AI-development software, vehicle operating systems, and autonomy tools to automakers, defense organizations, and other teams building intelligent machines. | RL infra, Simulation, Training data | Robotics and physical | Synthetic | $1.2B | 2026-09-29 | |
| Arga LabsArga provides AI developers and engineering teams with stateful replicas of business software, letting them train and test agents on realistic workflows and validate changes without modifying live production systems. | RL envs, Evals, Simulation | Multi-domain, Enterprise workflows | Synthetic | $10.5M | 2026-09-29 | |
| ARIMLABSBuilds production-style simulated workspaces and verifiable benchmarks for AI agents, helping AI developers train and test long-horizon tasks in cybersecurity, incident response, software engineering, and tool use. | RL envs, Evals, Simulation | Multi-domain, Security, Coding | Expert-made | — | 2026-10-13 | |
| LightwheelLightwheel sells physics-accurate simulation assets and environments, synthetic and human demonstration data, and evaluation tools to robotics and Physical AI teams training and validating robot models. | Human data, Evals, Simulation, Training data, RL infra | Robotics and physical | Expert-made | $293M | 2026-09-29 | |
| MaingenMaingen builds industrial-operation simulations, RL environments and benchmarks for frontier AI labs, helping them train and assess agents on tasks such as running solar portfolios and factories. | RL envs, Evals, Simulation, Training data | Enterprise workflows, Other | — | $500K | 2026-09-29 | |
| MatricesMatrices sells realistic simulated computer-use environments to AI labs, where multimodal agents practice browser and workplace tasks through reinforcement learning without real-world side effects. | RL envs, Simulation | Computer use, Browser, Enterprise workflows | App replicas | $5M | 2026-09-29 | |
| MidcenturyMidcentury sells real-world human-action and gameplay datasets, along with cloud simulation tools, to robotics developers, AI labs, and enterprises training and evaluating physical AI systems. | Training data, RL envs, Simulation, Human data | Robotics and physical, Games | Licensed data | $15M | 2026-09-29 | |
| Olam LabsOlam Labs builds simulated multi-agent environments, behavioral evaluations and game-derived datasets for AI labs and researchers training or evaluating models’ social, agentic and safety capabilities. | RL envs, Training data, Evals, Simulation | Coding, Computer use, Enterprise workflows, Finance, Games, Security, Multi-domain | — | — | 2026-10-13 | |
| Patronus AIPatronus sells AI evaluation and benchmarking tools, plus simulated digital worlds and RL environments that AI labs and developer teams use to test, train, and improve models and agents. | RL envs, Evals, Simulation, RL infra | Multi-domain, Finance, Coding, Enterprise workflows | Expert-made, Open data | $70M | 2026-09-29 | |
| PolymathBuilds simulated environments, tasks, and verifiers for AI labs to train and evaluate long-horizon agents; its Horizon-SWE benchmark tests end-to-end software engineering workflows. | RL envs, Evals, Simulation | Multi-domain, Coding | Expert-made | $8M | 2026-09-29 | |
| SymbalSymbal supplies AI labs with multimodal post-training datasets, private evaluations and benchmarks, and human-in-the-loop data; it also builds enterprise agents using customers’ first-party workflows. | Training data, Evals, Simulation | Multi-domain, Science, Math, Finance, Medical, Legal, Robotics and physical, Coding | Customer data | — | 2026-09-29 |
No vendor matches every filter. Filters in different groups must all match. Remove one to widen the list:
— not publicly listed or not confirmed. Open a profile for each fact’s source. The register is unranked; sorting only reorders.
How to read domain and SOC 2 labels
Multi-domain means work across several task areas, not every area. Vendors appear in a specific domain filter only when that area has supporting evidence. SOC 2 entries are vendor statements, not independently verified audits: Unspecified means claimed without a stated type; Pending means in progress; Not publicly listed means we found no public statement. None of those means a completed Type I/II report. SOC 2 and deployment details remain on profiles and in comparison.