By kind of data

Business work AI training data providers.

50 companies say on their own websites that they sell datasets and work on business work. 31 of them have revenue, a valuation or funding on record, and come first, largest first. Each line below is the company's own description, linked to the page it is on.

  1. Mercor

    #1 overall, $2B revenue, run rate, Jun 2026

    “Diverse datasets spanning professional, coding, research, agentic, and multimodal tasks.” its page

    Data comes from: made by experts and contractors, replicas of real software, generated, licensed from its owners.

  2. Surge AI

    #2 overall, $1.2B revenue, FY2024

    “Our off-the-shelf datasets are the same: thousands of hours of expert reasoning, pre-built and ready to use today, spanning RL environments, coding, and the core capabilities every model needs.” its page

    Data comes from: made by experts and contractors.

  3. Scale AI

    #4 overall, $870M revenue, FY2024

    “High-quality training data, annotations, and RLHF to power the world's most advanced AI models.” its page

    Data comes from: made by experts and contractors, replicas of real software.

  4. Snorkel AI

    #6 overall, $375M revenue, run rate, Sep 2026

    “The Snorkel Data Series is a set of research-defined, non-exclusive dataset and environment products, refreshed quarterly as models advance.” its page

    Data comes from: made by experts and contractors, the client's own data.

  5. Innodata

    #7 overall, $350M revenue, 12 months to Sep 2026

    “Pre-built AI training datasets for LLMs. Scalable, expert-curated data for model training, evaluation, and reasoning performance.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  6. Turing

    #8 overall, $300M revenue, run rate, Mar 2025

    “We offer frontier AI labs custom and off-the-shelf datasets, RL environments, and human experts in software engineering, enterprise knowledge work, and frontier STEM.” its page

    Data comes from: made by experts and contractors, replicas of real software.

  7. TaskUs

    #9 overall, $250M revenue, 12 months to Sep 2026, AI Services

    “We helped a leading tech giant to build a diverse, egocentric dataset to solve this.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  8. Appen

    #10 overall, $249M revenue, 12 months to Jun 2026

    “Appen provides specialist LLM training data across the full development pipeline, from initial fine-tuning demonstrations through to the expert preference feedback and adversarial testing that alignment requires.” its page

    Data comes from: recorded from people and the real world, made by experts and contractors, licensed from its owners, generated.

  9. Invisible Technologies

    #12 overall, $134M revenue, FY2024

    “Model-ready, off-the-shelf data Datasets spanning professional work, code, and customer interactions. Available now.” its page

    Data comes from: made by experts and contractors.

  10. AfterQuery

    #13 overall, $100M revenue, run rate, Apr 2026

    “Offers ready-to-deploy datasets across high-demand capability areas” its page

    Data comes from: made by experts and contractors, recorded from people and the real world, generated, the client's own data.

  11. Arena

    #14 overall, $100M revenue, run rate, Oct 2026

    “Arena operates the largest human-preference dataset for AI evaluation in the world.” its page

    Data comes from: public data.

  12. Mecka

    #15 overall, $100M revenue, run rate, Jun 2026

    “Egoverse is Mecka's large-scale human interaction dataset, built from real-world first-person activity across tasks, spaces, and environments” its page

    Data comes from: recorded from people and the real world.

  13. Toloka

    #17 overall, $26.4M revenue, FY2024

    “Expert-built, verified by code, and proven to transfer. ... License our off-the-shelf data for eval, SFT or RL.” its page

    Data comes from: recorded from people and the real world, made by experts and contractors, generated.

  14. Eigent AI

    #18 overall, $12M revenue, run rate, Oct 2026

    “This dataset applies the same format at larger scale, producing a substantially bigger and more diverse task pool for training and evaluation.” its page

    Data comes from: public data, generated.

  15. Encord

    #23 overall, $90M raised in total

    “Training-ready data for physical AI, collected by in-field operators and at our teleoperation facilities.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world, generated.

  16. Patronus AI

    #24 overall, $70M raised in total

    “RL environments for alignment teach a model to do what was meant, not only what was measured. They are AI alignment datasets built as training environments.” its page

    Data comes from: made by experts and contractors, generated.

  17. XDOF

    #25 overall, $70M raised in total

    “delivering the highest-quality teleoperation, on-embodiment, and egocentric data” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  18. CloudFactory

    #26 overall, $65M raised in total

    “We transform messy, unstructured, or incomplete data into high-quality datasets, creating the foundation for reliable AI models.” its page

    Data comes from: made by experts and contractors.

  19. Defined.ai

    #27 overall, $62.3M raised in total

    “Access off-the-shelf ethically sourced and high-quality datasets across audio, image, video, text, and multimodal formats” its page

    Data comes from: recorded from people and the real world, made by experts and contractors.

  20. Centific

    #28 overall, $60M raised in total

    “Centific’s Data Marketplace provides a centralized, self-service platform to discover, enhance, and deliver trusted datasets from both Centific and third-party sources at scale.” its page

    Data comes from: recorded from people and the real world, licensed from its owners, the client's own data, made by experts and contractors.

  21. SuperAnnotate

    #30 overall, $49.5M raised in total

    “Versioned, audited datasets with full lineage from raw signal to train set.” its page

    Data comes from: made by experts and contractors.

  22. Bespoke Labs

    #32 overall, $40M raised in total

    “One of the best open reasoning datasets.” its page

    Data comes from: made by experts and contractors.

  23. Gray Swan AI

    #33 overall, $40M raised in total

    “High-risk and regulated domains: evaluation and datasets where standard benchmarks don't apply” its page

    Data comes from: made by experts and contractors.

  24. Deccan AI

    #35 overall, $25M raised in total

    “Audio, video, visual, and doc intelligence datasets for mid/post training and evals.” its page

    Data comes from: made by experts and contractors.

  25. iMerit

    #36 overall, $23.5M raised in total

    “Original corpus of 1,000 Chain of Thought math problems, including step-wise corrections and annotation, intersecting 60+ disparate subdomains of formal and applied mathematics.” its page

    Data comes from: recorded from people and the real world, made by experts and contractors.

  26. SimpleClosure

    #37 overall, $19M raised in total

    “We work with a vetted network of strategic buyers, including leading AI foundation labs, reinforcement learning environment builders, and other technology companies looking for real-world data for AI training.” its page

    Data comes from: the client's own data.

  27. Datacurve

    #38 overall, $15M raised in total

    “Prebuilt datasets, curated for signal, reviewed for quality, and structured to drop into your training stack without translation work.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  28. Chakra Labs

    #40 overall, $10.1M raised in total

    “This dataset contains authentic computer interaction data collected from users performing real work tasks in productivity applications.” its page

    Data comes from: made by experts and contractors, replicas of real software, recorded from people and the real world, generated.

  29. Idler

    #42 overall, $9M raised in total

    “Now, we're offering off-the-shelf datasets across an even broader set of capabilities” its page

    Data comes from: made by experts and contractors, the client's own data.

  30. Runloop

    #45 overall, $7M raised in total

    “Runloop gives post-training teams one execution layer for three workloads: RL rollouts, SFT data generation, and verified trajectory generation. Each rollout runs in an isolated sandbox provisioned from a reproducible Blueprint, executes against production-like dependencies, and returns structured outcomes your training pipeline can consume.” its page

    Data comes from: not stated.

  31. Troveo

    #50 overall, $4.5M raised in total

    “Curate from millions of hours of content and 100+ video, audio, and gaming datasets.” its page

    Data comes from: licensed from its owners, the client's own data, recorded from people and the real world.

  32. “Datasets with repository patches, programming problems, and code comprehension tasks.” its page

    Data comes from: made by experts and contractors, licensed from its owners, recorded from people and the real world.

  33. “Create custom high quality, premium datasets to enhance AI model performance by improving accuracy, domain expertise or to provide a consistent tone or style.” its page

    Data comes from: made by experts and contractors, the client's own data.

  34. “We turn these worlds into post-training datasets and reinforcement learning environments to train the next frontier of AI.” its page

    Data comes from: made by experts and contractors, replicas of real software, generated.

  35. “Training data and reward signals to post-train your model or improve your agent harness” its page

    Data comes from: replicas of real software.

  36. “Selected scopes can include trajectories, annotations, and human-reviewed golden runs.” its page

    Data comes from: generated.

  37. “a human data and evaluation services business providing reinforcement learning environments, RLHF datasets, and contextual evaluations to AI laboratories and enterprises.” its page

    Data comes from: made by experts and contractors, the client's own data.

  38. “Power your robotic systems with high-fidelity spatial data and unique datasets for embodied AI created from scratch.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world, replicas of real software.

  39. “Markov builds expert computer-use datasets for frontier AI labs.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  40. “We offer RL environments, agent trajectories and SFT datasets on non-exclusive license to advance AI research, and frontier model development.” its page

    Data comes from: made by experts and contractors, licensed from its owners.

  41. “Work with Olam Labs: pre-deployment evaluations with transcript and data anonymity, datasets of top-performing humans and agents, real-world multi-agent environments, and custom arenas built for training and evals.” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  42. “We source real enterprise data, anonymize it into digital twins, and generate reinforcement learning environments with expert-level tasks.” its page

    Data comes from: licensed from its owners.

  43. “Petrarch targets companies with valuable operational data they haven't monetized, from legacy businesses and startups to companies undergoing bankruptcy and pivots. ... They have already transacted construction plans, autonomous driving recordings, and codebases.” its page

    Data comes from: licensed from its owners.

  44. “An SFT dataset of real developer workflows from 2K repositories with pre-resolved dependencies and Docker containers.” its page

    Data comes from: made by experts and contractors, generated, replicas of real software.

  45. “Elite annotators. Scalable synthetic generation. One pipeline built for enterprise AI.” its page

    Data comes from: made by experts and contractors, the client's own data, generated.

  46. “from building high-quality training datasets to delivering production-ready models” its page

    Data comes from: the client's own data.

  47. “Frontier AI training data, engineering and intelligent automation to accelerate responsible AI rooted in real ROI.” its page

    Data comes from: not stated.

  48. “We prepare ready-to-use and custom datasets supporting a range of AI use cases” its page

    Data comes from: made by experts and contractors, recorded from people and the real world.

  49. “Post-training data that scales without armies of human annotators” its page

    Data comes from: generated, replicas of real software.

  50. “Demonstrations, preference pairs and eval sets written by people who do the work every day.” its page

    Data comes from: made by experts and contractors, replicas of real software.

Other kinds of data