AfterQuery sells expert-created and synthetic training datasets, reinforcement-learning environments, and custom evaluations to AI labs and enterprises developing foundation models and agents.
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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.
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.
Aptura provides expert-built training and evaluation data, benchmarks, and reinforcement-learning environments to AI labs and developers building systems for finance, healthcare, and legal work.
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.
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.
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.
Dissei sells finance-focused RL environments, evaluation benchmarks, and real-transaction training data and analyst trajectories to AI labs and model developers, as well as financial institutions building or assessing models.
EdotEnv provides financial-market-based reinforcement-learning environments and research benchmarks that AI labs and research teams use to train and assess agents on quantitative-research tasks.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Paper Instruments post-trains language models and builds evaluation benchmarks, post-training infrastructure, and agent software for AI developers working on knowledge-intensive tasks.
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.
Poindexter Labs supplies expert data annotation and evaluation services to frontier AI teams, alongside syncronus, a collaborative platform for expert-led model training.
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.
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.
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.
San Francisco company that builds finance and coding RL environments, with tasks created by private equity professionals and senior software engineers, and sells ready-made environments, custom tasks, model evaluations and human preference data to frontier AI labs.
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.
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.
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.
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.
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.
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.
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