RL environments

31 vendors.

• Abundant — Builds RL environments and datasets for AI labs.
• Bespoke Labs — Data-curation research shop that builds environments and optimizes agents for enterprises and labs.
• Chakra — Research and design lab producing expert-authored task sets for training and benchmarks for evaluation.
• Collinear — Simulation lab producing training data and RL environments so agents can be tested in realistic scenarios.
• Cua — Open-source computer-use tooling and shared machines where teams and agents work side by side.
• Datacurve — Produces custom data for long-horizon reasoning, software engineering and data-science tasks for frontier labs.
• Deccan AI — Supplies post-training data and RL environments for coding, multimodal and physical AI, plus off-the-shelf datasets and enterprise agent services.
• General Reasoning — London research lab building infrastructure for long-horizon agents, including hosted RL environments.
• Good Start Labs — Game-based simulations for measuring and improving model reasoning, tool use and enterprise skills.
• Halluminate — Builds computer-use and tool-use RL environments modeled on banking, private-equity and consulting work.
• Incalmo — Autonomous-cybersecurity company building cyber environments for training and testing models.
• Labelbox — Started as labeling software; now sells expert data and training environments to frontier labs, plus an agent product for engineering teams.
• Mechanize — Software company that builds RL environments and sells them to leading AI labs.
• Mercor — Recruits domain experts at scale and turns their work into training data, benchmarks and agent-training tasks for labs and enterprises.
• micro1 — Describes itself as a data lab: expert human data, real-world training environments and contextual agent evaluations.
• Moonlake — Frontier lab building world models and simulation infrastructure aimed at faster robot deployment.
• Patronus AI — Research lab building training data and simulated environments for frontier AI, evolving from an evaluation-tools origin.
• Phinity Labs — Builds agents that design and verify custom chips, with related RL training work.
• Plato — Simulated web worlds for training and evaluating browser agents.
• Polymath — Simulation environments for training and evaluating long-horizon agents.
• Preference Model — Research company building RL environments aimed at more capable and better-aligned models.
• Prime Intellect — Open stack spanning compute, training, inference, sandboxes and a hub of RL environments.
• Proximal — Research lab producing coding data for autonomous coding agents.
• Revelo — Latin American engineering-talent company that now sells code-focused expert data, RL environments and evals to AI labs.
• Snorkel AI — Builds specialized datasets, benchmarks and evaluation environments aimed at high-stakes domains for frontier models and agents.
• Synthetic Sciences — AI research lab building infrastructure and evaluations for scientific AI.
• Toloka — Data partner for agentic, coding and safety work, blending human experts with tooling to generate training and evaluation data.
• Trajectory Labs — Public-benefit corporation offering safety evaluations, red teaming and RL environments to frontier labs.
• Turing — Draws on a large engineering talent network to produce coding and reasoning data and help enterprises deploy agents.
• Veris AI — Builds simulated copies of a company's systems, data, APIs and users so agents can be tested and trained before production.
• Vetto — Post-training partner covering RL environments, rubrics and verifiers, RLHF, SFT and expert human evaluation.