Find companies working with business data

Abundant builds reinforcement-learning environments, evaluation benchmarks, and training datasets for AI labs, AI startups, and large enterprises developing and improving AI agents.

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

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.

Aviro sells reinforcement-learning environments, post-training datasets, and evaluations for AI labs and teams building long-running agents, with tasks spanning coding, computer use, and enterprise knowledge work.

Chakra Labs builds expert-authored tasks, graders and computer-use environments for training and evaluating AI models. Its off-the-shelf and bespoke task sets cover finance, legal work, responsible AI and computer use.

Consequence Labs creates custom human-generated training and evaluation datasets, including workflow demonstrations, speech data, expert judgments and annotations. It recruits contributors, manages collection and review, and delivers structured data with provenance and quality documentation.

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.

Datoric licenses robotics and physical-AI training data (egocentric video, manipulation and teleoperation recordings), runs custom collections to a buyer's specification, and also offers computer-use, voice and gameplay datasets.

Deccan AI sells AI labs and developers expert-created post-training datasets, human feedback, reinforcement-learning environments and evaluations; it also offers enterprises monitoring and AI-enabled operations tools.

Halluminate sells finance-focused computer-use and tool-use RL environments, simulated business applications, training data, and agent benchmarks to frontier AI labs and enterprise AI teams.

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.

Huzzle Labs sells reinforcement-learning environments, expert-produced training data, evaluations, and custom-trained models to AI labs and enterprises seeking agents that can handle real software and business workflows.

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.

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.

Luel licenses ready-made multimodal datasets and organizes custom collection campaigns for AI labs and developers, using paid contributors to supply rights-cleared audio, video, speech, sensor, and computer-use data.

Markov sells computer-use datasets and task environments—including expert CAD, productivity, coding, and gaming workflows—to AI labs and developers training or evaluating desktop agents.

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.

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.

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.

Creates data intended to help AI systems operate legacy software, targeting AI labs. Its public website invites interested users to join a waitlist.

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.

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.

Refresh sells simulated software environments and verifiable evaluations for training and testing AI agents, alongside real-workflow coding datasets, to frontier AI labs and enterprises.

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.

Sieve supplies AI labs and model developers with curated or custom-collected video, audio, image, and interaction data, plus annotations, evaluation sets, and interactive environments.

SuperAnnotate sells AI data software and managed expert services to AI labs and developers, covering multimodal annotation, training data, model and agent evaluations, and reinforcement-learning environments.

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.

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.

Turing supplies AI labs with training data, evaluations, and RL environments for coding, enterprise knowledge work, and STEM. It also helps large enterprises build and deploy AI agents in important workflows.

Vetto sells AI labs and developers expert post-training data, human evaluation, custom RL environments, and verifier-graded benchmarks to help train and assess models on practical tasks.

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.