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AIChamp 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.

Andon 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.

Applied Intuition sells simulation, data and AI-development software, vehicle operating systems, and autonomy tools to automakers, defense organizations, and other teams building intelligent machines.

Arga 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.

Builds 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.

HyperPrior Research is a small London research firm that builds environments, graders and agent test suites for teams training and evaluating AI agents, sold as fixed-scope or retainer engagements alongside technical diligence, strategy and machine-learning consulting.

Lightwheel 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.

Maingen 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.

Matrices 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.

Midcentury 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.

Olam 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.

Patronus AI builds training data and simulated environments to train and improve AI models and agents. Its research studies model failures in alignment, coding, knowledge work, science and computer use, and it publishes benchmarks.

Builds 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.

Symbal 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.