Find companies working with business data

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.

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.

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.

BioStack sells clinical and preclinical data, healthcare AI training environments, and evaluation tools to AI labs and life-sciences teams developing medical and drug-discovery models.

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.

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.

CueBench builds reinforcement-learning environments and task benchmarks for AI labs and developers to train and assess frontier models on difficult scientific-reasoning and performance-engineering problems.

Datacurve sells expert-built coding data, reinforcement-learning environments, benchmarks, and evaluations to foundation-model labs and AI developer-tool companies.

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

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.

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.

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

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.

LatchBio sells cloud data and compute software, bioinformatics workflows, and AI-based analysis to biotech R&D teams, laboratories, and scientific kit or instrument providers. It also publishes evaluations and offers assessment services for biology-focused AI agents.

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.

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.

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.

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.

Preference Model builds reinforcement-learning environments for frontier AI labs, helping train models to handle machine-learning research and engineering tasks.

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

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.

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.

An AI co-scientist workbench for research teams, automating literature review, hypothesis generation, experiments, analysis, and paper drafting; the company also develops scientific evaluations and long-horizon RL environments for AI labs.

Tacit builds expert-authored life-science evaluations, scientific agent environments, and structured datasets to help frontier AI labs train and assess models on long-horizon biology, chemistry, and drug-development tasks.

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.

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.

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

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.