Find companies working with business data

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.

Archal sells resettable API sandboxes that mimic third-party software services, giving AI developers and software teams repeatable environments to test, evaluate, and train agents without using live accounts.

Builds simulated, workflow-based environments and benchmarks, plus a runtime and managed post-training service, for AI labs and developers training and evaluating agents.

Bespoke Labs sells realistic, company-scale reinforcement-learning environments and agent-training, optimization, and evaluation infrastructure to frontier AI labs and enterprises.

Cua sells cloud and self-hosted desktop sandboxes, computer-use runtimes, RL environments and benchmarks, and trajectory data to AI developers building, training, and evaluating agents that operate computers.

Deeptune builds simulated workplace-software environments, bundled with tasks, datasets and infrastructure, where frontier AI labs train agents to carry out multi-step digital work. Mercor acquired Deeptune in July 2026.

e2f, which renamed itself TrustScale in June 2026, sells custom AI training datasets, expert annotation, model evaluation and benchmarking, and reinforcement learning feedback through its ArgusRL platform, covering 200 languages and text, image, audio and video data.

Fleet sells simulated training environments and evaluation tools where AI agents practice realistic tasks to frontier AI labs, hyperscalers, and enterprises.

General Reasoning offers AI labs and developers API-hosted reinforcement-learning environments, plus infrastructure to deploy environments and train or evaluate agents at scale.

Hiloop sells automated research infrastructure to AI/ML teams, running experiments across their models, data, training methods, prompts, tools, and systems against customer-defined evaluations, then returning verified improvements.

HUD sells an SDK and cloud platform for building, running and grading reinforcement-learning environments, turning agent runs into evaluation results and training data. Through its DataVendor marketplace, organizations license private data such as codebases, tasksets and environments to invited AI buyers.

Labelbox sells simulated reinforcement-learning environments, expert-generated preference and training data, and evaluation services to frontier AI labs; it also offers enterprise teams software for running agents on real company workflows.

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.

Mind Lab provides pharmaceutical, financial, public-sector and gaming companies with custom benchmarks, task environments, data development and model post-training, alongside its own training platform.

Monte sells post-training and continual-learning infrastructure to AI labs and enterprise AI teams, helping them evaluate models against work tasks, train specialized agents, and improve them using feedback from real workflows.

Paper Instruments post-trains language models and builds evaluation benchmarks, post-training infrastructure, and agent software for AI developers working on knowledge-intensive tasks.

Phinity builds chip-design reinforcement-learning environments and training infrastructure for AI labs, while developing agents to design, verify, and eventually tape out custom chips.

Prime Intellect sells AI labs and developers an open stack for reinforcement-learning environments, model evaluations, hosted training, inference, sandboxes, and GPU compute to build and improve agentic models.

Runloop provides isolated development sandboxes, orchestration, and benchmarking tools so AI developers and labs can build, run, score, and refine coding agents, including reinforcement-learning and fine-tuning workflows.

Theta sells custom simulated work environments and hands-on implementation to AI labs and enterprises, helping them train and evaluate specialized agents on realistic, multi-step business workflows.

thetalab builds on-prem agent-training infrastructure for AI developers. It turns customer production traces and difficult workflow cases into private RL environments, then uses the results to train custom models for specific business processes.

Vals AI sells evaluation software, expert-built benchmarks, and review tools to AI labs and enterprise engineering teams testing models and AI applications on practical, domain-specific tasks.

Veris sells AI developers a simulation and reinforcement-learning platform that recreates enterprise tools, systems, and users, helping teams train, test, and improve agents on realistic workflows before production.

Vmax markets Campaign, a self-play task-generation and RL platform that uses developers’ proprietary data and evaluations to create training environments and refine agents on new task examples.