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.

AI Astrolabe supplies human-written and annotated training datasets, model evaluations and red-teaming services, with a focus on Arabic dialects and other low-resource languages. Its catalog includes text, speech and audio, images, and safety preference data.

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.

Anthromind supplies AI developers, research teams, and businesses with expert-curated training and preference data, custom LLM evaluations, and fine-tuning support through tailored projects and managed data-curation services.

Apex Data Sciences, the AI division Apex CoVantage launched in 2024, sells expert RLHF and SFT data, expert-built benchmarks and image, text, video and lidar annotation to AI teams. Its parent also sells publishing, accessibility and healthcare billing services.

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.

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.

Arena sells AI model evaluations built on real-world human feedback to labs, enterprises and developers, with analytics, feedback samples and SLA-backed delivery. Its privacy policy says it may share users' prompts, votes and other content with AI model developers to evaluate, improve and develop their products; its FAQ says such shared data is de-identified.

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.

Builds production-style simulated workspaces and verifiable benchmarks for AI agents, helping AI developers train and test long-horizon tasks in cybersecurity, incident response, software engineering, and tool use.

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

Besimple AI supplies AI labs and voice-AI developers with licensed conversational audio, expert annotation, and benchmarks for training and evaluating speech models.

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

Boston company that labels medical and other data through scored contests among human annotators, specialists and AI models, sells model evaluation services, and licenses finished labeled datasets, such as chest X-ray and pathology sets, to AI developers.

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

Cint collects commissioned human responses in text, audio and video for AI-model training and validation through its respondent network and AI-moderated interview workflows. This profile covers newly created survey and conversational data; its separate Verified Audiences consumer-profile licensing product is outside this listing’s scope.

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

CloudFactory supplies a managed human workforce and AI platform to businesses and AI developers, collecting and annotating data, preparing model-training and fine-tuning datasets, and providing human feedback, evaluation, and operational support for AI systems.

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.

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.

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

Dataloop sells an AI data-development platform and on-demand annotation services to enterprises and AI teams, helping them organize, label, quality-check, and route multimodal data into AI training and production workflows.

DataOcean AI sells off-the-shelf datasets and custom data collection, labeling, and model evaluation services to AI developers and enterprises, supporting LLM, speech, vision, multimodal, and autonomous-driving systems.

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.

Defined.ai sells licensed, multilingual AI training datasets and provides custom data collection, annotation, evaluation and model fine-tuning services to organizations developing AI.

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.

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.

Encord sells a multimodal data platform and managed collection, annotation, and evaluation services to AI teams preparing and improving training data for physical AI, computer vision, and generative models.

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.

Through GLG Frontier, a practice it formally launched in October 2026 after working with frontier labs since 2023, GLG recruits credentialed professionals in medicine, science, law, finance and engineering to design model evaluations, write tasks and grading rubrics, review model outputs and red-team models for AI labs. Its main business is an expert network that connects investors, consulting firms, companies and law firms with industry experts, mostly through calls.

Pune-based company that offers benchmark licensing and custom model evaluations to AI labs and enterprises, and publishes BFSI-Bench, an Indian financial-regulation benchmark. It also creates, labels and reviews multimodal training data and screens egocentric video for embodied AI.

Handshake supplies frontier AI developers with expert-created training and evaluation data, reinforcement-learning environments, and licensed, de-identified operational records from real companies.

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.

Humyn Labs collects and annotates real-world multimodal human data—especially first-person video, sensor and motion signals, and speech—and supplies training datasets and evaluation benchmarks to AI labs, robotics developers, and other AI teams.

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.

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

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.

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.

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.

A marketplace that curates and licenses human-contributed and rights-holder datasets—including video, images, audio, and text—for AI labs, research institutions, and enterprises training models.

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.

LXT supplies AI developers and enterprises with custom and off-the-shelf training data, human annotation, evaluation, and RLHF services across text, speech, images, and video.

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.

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.

micro1 provides expert human data and post-training services, real-world RL environments, robotics data, and AI-agent evaluations for frontier AI labs, enterprises, and robotics teams.

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.

NewtonX recruits professionals in finance, tech, healthcare and law, checks their identity and expertise, and uses them to run model evaluations, produce post-training datasets and audit annotation quality for AI developers. Its main business is B2B market research.

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.

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.

OpenTrain connects AI labs and developers with vetted human experts for RLHF, model evaluation, red teaming, and data annotation. Customers hire directly or use a managed team working in their existing tools.

Pareto supplies AI labs with specialist-created training data, evaluations, and RL environments that turn expert judgment into signals for assessing and improving frontier models.

Parsewave creates custom, expert-written datasets, solution traces, and evaluations for frontier AI labs and developers to train and test coding and other professional-domain models.

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.

Perle supplies AI labs and developers with specialist-generated multimodal training data, annotation, RLHF and model evaluations through expert-led programs and managed workflows.

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.

Poindexter Labs supplies expert data annotation and evaluation services to frontier AI teams, alongside syncronus, a collaborative platform for expert-led model training.

Builds simulated environments, tasks, and verifiers for AI labs to train and evaluate long-horizon agents; its Horizon-SWE benchmark tests end-to-end software engineering workflows.

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.

Prolific gives AI labs and developers access to verified participants and subject-matter experts to collect human feedback, training data, and model evaluations through a platform, API, or managed research service.

Protege licenses data from hundreds of partner organizations, curates it and de-identifies health records, and licenses the resulting datasets to AI developers for pre-training, post-training and evaluation across healthcare, video, audio and speech, and spatial and physical data. It also runs independent, double-blind evaluations of healthcare AI models on de-identified patient records.

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.

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.

Rise Data Labs sells human- and synthetic-data production, annotation, and model-evaluation services to AI labs and enterprise model teams building and improving generative AI.

Sama sells human-in-the-loop data annotation, validation, evaluation, and training-data services to enterprise AI teams building computer-vision, multimodal, and generative AI models.

Sapien supplies human-created and expert-reviewed training data to AI developers, including data annotation, collection, curated datasets, and quality checks for AI outputs.

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.

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.

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.

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.

Symbal supplies AI labs with multimodal post-training datasets, private evaluations and benchmarks, and human-in-the-loop data; it also builds enterprise agents using customers’ first-party workflows.

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.

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.

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.

Trajectory Labs runs safety evaluations, expert red-teaming and RL environments that help AI labs find model vulnerabilities and measure safer behavior.

Traverse builds reinforcement-learning environments and training data for frontier AI labs, helping them train models on ambiguous professional work that depends on judgment, context, and long-horizon reasoning.

Troveo licenses and packages rights-cleared real-world data—including video, audio, text, business workflows, gaming and robotics—for AI labs and model developers, with custom sourcing and annotation.

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.

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

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.

Verita supplies vetted domain experts and manages project operations for AI labs, producing annotation, human-feedback and evaluation work, training data, and support for reinforcement-learning environments.

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.

Watt sources, prepares and licenses private operational datasets for AI training and evaluation, with a current emphasis on energy and industrial records. This profile covers that company-data offering; Watt also operates a behavioral-data Signal Graph, and its bulk catalog includes intent, employment and contact data. Consumer-profile datasets are outside this profile.