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.

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.

Align AI sells expert-grounded training data, simulated RL environments, continuous evaluations, and in-runtime verification tools to AI labs and enterprises building agents for regulated, high-stakes work.

Appen supplies AI labs and product teams with human-produced training data, annotation, expert feedback, RL environments, and model evaluations for machine-learning and agentic AI systems.

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.

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.

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

Centific sells multimodal AI training data, human annotation, model evaluations, and simulated enterprise RL environments to frontier AI labs and enterprise AI teams.

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.

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

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.

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.

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.

Diffuse Labs builds reinforcement-learning environments for frontier AI labs, generating scalable tasks and verifiable rewards so developers can train agents and measure gains across coding, chip design, Kubernetes operations, and enterprise software.

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.

Supplies large-scale pretraining and post-training datasets, including code and web, document, and video data, plus verifiable STEM RL environments and custom data sourcing for frontier AI labs.

Flevy, a business-template marketplace, runs Flevy Business Data Services, which catalogs documents held by firms and professionals and pitches that inventory to AI labs for licensing; it also connects labs with contributors for consulting and evaluation work.

G2i supplies coding post-training data to AI labs (RL environments, evals, RLHF preference data, SFT datasets, scrubbed seed data) through managed projects or contract engineers placed on lab teams. It also runs an engineer hiring platform and tech conferences.

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.

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.

Idler sells reinforcement-learning environments, benchmarks and evaluation datasets based on production work to AI labs and other teams training and evaluating 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.

Intelligence runs DesignArena, where people vote between AI-generated websites, games, images, video and audio, and sells model evaluations to AI labs. It says it shares users' prompts, outputs and votes with AI model developers, who may train on them, after taking steps to remove identifiers like usernames; its terms let it charge for that use.

Invisible sells expert-created training data, model fine-tuning, evaluations, and custom reinforcement-learning environments to AI labs and developers; it also provides AI software and implementation support for enterprises.

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.

Connects companies’ existing agent-data systems, collects approved interaction traces, corrections, and completed workflows, then anonymizes and packages them as licensed training data or environments for AI labs and researchers; data suppliers earn a revenue share.

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.

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.

Metaphi sells custom and reusable simulated work environments, training datasets, and agent evaluations to frontier AI labs and enterprise AI teams, helping them train and assess agents on realistic software, finance, and content-generation tasks.

Miro Advisory helps established businesses license their operating history (support tickets, reconciliations, dispatches, approvals and other workflow records) and software companies license private codebases with their commit, issue and review history, to AI developers for training and evaluation. It acts as an advisor and intermediary: it handles qualification, rights review, buyer discussions and the licensing process.

Mode buys copies of company-owned operating records, removes sensitive material or transforms personal identifiers, and resells the prepared data for AI research and training. This profile covers its company-data offering; Mode separately operates a consumer-data business supplying AI buyers.

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.

Navaday supplies expert-created training data and model evaluations across professional and technical fields. It manages specialists who write examples, correct existing data, compare model answers and produce held-out test sets. It also prepares and helps license business records for AI development.

Nyne AI licenses workflow data from companies, de-identifies it and prepares training and evaluation datasets for AI labs, and connects labs with domain specialists. It also sells people and company data APIs built on its identity graph.

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.

Ooak Data licenses and anonymizes real company workflows, then turns them into RL training and evaluation environments for frontier AI labs and teams building enterprise agents.

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

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

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.

Petrarch sources operational records from companies under signed agreements, de-identifies them with its in-house Lindo software inside the supplier's environment, and licenses or sells the prepared datasets to AI labs and applied AI startups as training data.

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.

ReadySolve licenses MartechBench, an enterprise marketing-workflow environment for reinforcement learning and evaluation. Agents operate connected business systems with deterministic task verification; buyers receive runtime materials and can commission model benchmarks.

ReasonCore provides expert-curated AI training datasets, reinforcement-learning environments, and adaptive evaluations for frontier AI labs, emerging AI labs, and enterprises developing or deploying advanced models.

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.

Replay pays companies for their work history (code, internal docs, support tickets, CRM and financial records), strips personal identifiers and licenses the cleaned datasets to frontier AI and data labs. The same company runs Sunset, a startup wind-down service.

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

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.

SimpleClosure’s AssetHub connects startups with AI buyers interested in licensing or acquiring source code and workspace data.

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.

Sticker builds reinforcement learning environments and benchmarks for training and evaluating AI agents on procurement work, including backorders, purchasing policies and mismatched invoices, for teams post-training models. It previously built and ran procurement infrastructure for businesses.

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.

Surge sells AI labs and developers expert-built training data, human feedback, evaluation benchmarks, and interactive reinforcement-learning environments to train and assess AI models and agents.

TaskUs provides outsourced AI data operations for AI developers and enterprises, including data collection and labeling, expert feedback and RLHF, model evaluations and red-teaming, and robotics data services.

Telegraph Lab sources and licenses business records for AI training. It reviews data rights, prepares datasets through de-identification and structuring, and arranges delivery to AI labs. Its sources include workplace communications, business-system records, company files and operating histories.

TELUS Digital supplies AI labs and developers with expert-built training data, annotations, agentic RL environments, red-team testing and evaluations, plus custom multimodal and physical-AI datasets and managed data-collection services.

The General Data Company licenses anonymized records and workflow-based datasets from European businesses to AI labs for model training and evaluation, including held-out benchmarks 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.

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.

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.

Uber AI Solutions provides custom AI data collection and annotation, specialist human feedback and RLHF, red-teaming, and model evaluation for frontier labs, enterprises, robotics firms, and autonomous-vehicle 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.