Find companies working with business data

AfterQuery sells expert-created and synthetic training datasets, reinforcement-learning environments, and custom evaluations to AI labs and enterprises developing foundation models and agents.

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.

Alice, formerly ActiveFence, sells AI safety and security training datasets, agentic RL environments, and expert-led red teaming and evaluations to foundation model labs; it also sells WonderSuite guardrail software to enterprises and content moderation to online platforms.

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.

Andromede provides AI labs and agent developers with reinforcement-learning environments, tasks, and verifiers built from real-world data for training and evaluating long-horizon agents.

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.

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.

Claru provides custom and licensed video, robotics demonstrations, and human annotations to AI labs building robotics, embodied AI, and world models.

Abu Dhabi company that sources, labels and evaluates training data for AI labs, hyperscalers and robotics teams, including human-ranked model responses, expert-written evaluation sets, Arabic speech data and first-person video of real work filmed by paid contributors through its KLKT app, and also sells its own Arabic speech models and voice agents.

Collinear sells stateful simulated environments, agent evaluations, and synthetic training data to frontier AI labs and enterprise AI teams building and improving AI agents.

Contra Labs provides AI teams with professional creatives’ judgments, model evaluations, benchmark datasets, human-feedback training data, and recorded design workflows to improve and measure generative AI.

DARE Labs offers Cerebro, a data refinery that turns operational data into supervised-training datasets, RL data and environments graded on real outcomes.

d_model builds RL environments where agents learn to do interpretability and alignment research, and runs similar agents in its own research.

Eigent sells an open-source multi-agent desktop workforce for automating enterprise workflows, and builds custom RL environments, benchmarks, and training/evaluation loops for enterprise teams and AI developers.

Emulated offers AI teams post-training datasets, production-like software-engineering environments, and benchmarks to train and evaluate agents on coding, infrastructure operations, machine-learning engineering, and research tasks.

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.

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.

iMerit sells expert-led data annotation, training-data creation, human feedback, model fine-tuning and evaluation services, alongside Ango Hub workflow software, to frontier AI labs, AI developers and enterprises building multimodal and domain-specific models.

Incalmo builds reinforcement-learning cyber environments and security evaluations for AI labs and security teams to train and assess cybersecurity-capable models.

Innodata provides AI developers and enterprises with training data, human feedback, annotation, reinforcement-learning environments, model evaluations, and red-teaming services for building and improving AI models and agents.

LightWrk sells expert-produced reasoning annotations, preference and training signals, and evaluation workflows to robotics, physical-AI, and world-model teams.

Mercor sells expert-created training data, reinforcement-learning environments, and evaluations and benchmarks to frontier AI labs and other AI developers. It also offers enterprise data licensing and evaluation services.

Moonlake provides world-model and simulation tools that turn real-world inputs or text into simulation-ready 3D assets and environments for robotics, autonomy, and AI research teams.

Noumad builds formally verified reinforcement-learning environments for post-training AI agents on unsolved problems in long-horizon machine learning, computational science, robotics and cybersecurity.

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

Plato builds simulated software and computer environments from real-world data so AI agent developers can train, test, and score browser and computer-use agents.

Proximal builds coding tasks, training data and RL environments that AI labs and enterprises use to train software-engineering agents.

Revelo sells AI labs code-focused training data, evaluations, benchmarks, and RL environments, with expert-led data creation and managed workflows to help improve coding models and agents.

RL Labs builds long-horizon software-engineering environments where frontier AI labs can train models on complex, multi-step coding tasks.

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.

Scale sells AI labs and businesses custom training data, human feedback, annotation, RL environments, and model evaluations, alongside software to build, test, and deploy AI agents and applications.

Sepal supplies frontier AI labs and enterprise model teams with expert-created training and evaluation data, benchmarks, and reinforcement-learning environments for developing and testing models on specialized tasks.

Snorkel sells expert-built training datasets, agent environments, benchmarks and evaluations—through ready-to-use products and custom data-development services—to frontier AI labs and enterprise AI teams.

Toloka supplies AI labs and developers with human-expert and synthetic training data, agent environments, evaluations, and red-teaming to build and assess AI models and agents.

Ulam sells reasoning datasets, expert-reviewed traces, benchmarks, and verifier-backed RL environments—primarily for mathematics and STEM—to AI labs and developers.

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.

Vibrant Labs builds RL-ready simulated environments, training tasks, and benchmarks for AI labs and developers working on long-horizon agents, including agents that use browsers, computers, or enterprise tools.