By kind of data

Coding AI training data providers.

52 companies say on their own websites that they sell datasets and work on coding. 27 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. micro1

    #3 overall, $1B revenue, run rate, Oct 2026

    “The environment where domain experts create, review, and deliver complex datasets across industries like healthcare, legal, finance, and more” its page

    Data comes from: made by experts and contractors.

  4. 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.

  5. Prolific

    #5 overall, $500M revenue, run rate, May 2026

    “End-to-end evaluation and training data. Managed for you From evaluator specification to data delivery - with the reproducibility and transparency your research demands.” its page

    Data comes from: made by experts and contractors.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Proximal

    #11 overall, $200M revenue, run rate, Sep 2026

    “Proximal is a new data company.” its page

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

  11. 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.

  12. 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.

  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. Mechanize

    #19 overall, $500M valuation, 2026

    “Today we’re announcing Mechanize, a startup focused on developing virtual work environments, benchmarks, and training data that will enable the full automation of the economy.” its page

    Data comes from: made by experts and contractors.

  15. Vals AI

    #20 overall, $400M valuation, 2026

    “A larger, privately held dataset, which we license to companies for their own internal validation.” its page

    Data comes from: made by experts and contractors.

  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. 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.

  18. Deeptune

    #31 overall, $43M raised in total

    “All gyms come with problems, datasets, and infrastructure.” its page

    Data comes from: replicas of real software.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. Perle AI

    #43 overall, $9M raised in total

    “Access continuously refreshed, expert-labeled multimodal data designed for teams building real-world robotics systems.” its page

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

  27. 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.

  28. “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.

  29. “Each dataset contains 1000 validated tasks harvested from popular GitHub repos.” its page

    Data comes from: made by experts and contractors, public data.

  30. “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.

  31. “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.

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

    Data comes from: replicas of real software.

  33. “Seed datasets (image, video, UI, motion). Corrective SFT data and RLHF preference pairs.” its page

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

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

    Data comes from: generated.

  35. “We provide ready-to-use datasets across software engineering, machine learning engineering, autonomous research, and model post-training.” its page

    Data comes from: not stated.

  36. “Build reusable and reliable systems for producing high-quality synthetic data, tasks, and verifiers” its page

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

  37. “FoundryAI produces custom data programs and off-the-shelf RL-ready dataset suites, with expert-verified trajectories, preference data, private evaluations, and regression environments matched to the behavior you need to improve.” its page

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

  38. “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.

  39. “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.

  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. “PhDs and professionals in mathematics, medicine, law, finance, and engineering providing expert-grade training data.” its page

    Data comes from: made by experts and contractors.

  43. “Parsewave datasets are designed for use in supervised fine-tuning, reinforcement learning from human feedback, or as benchmarks to assess model performance.” its page

    Data comes from: made by experts and contractors.

  44. “SYNTHETIC-2 consists of a large set of verifiable reasoning tasks as well as reasoning traces obtained from multiple models.” its page

    Data comes from: generated, public data.

  45. “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.

  46. “Pre-built, expert-authored datasets and RL environments with tasks, verifiers, and trajectories, ready to license.” its page

    Data comes from: made by experts and contractors.

  47. “Shaip’s AI Data Catalog & Licensing Marketplace gives AI teams a single source for buying and licensing pre-labeled, commercially cleared training datasets across text, speech, image, video, and multimodal formats.” its page

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

  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. “Start with difficult math, STEM, and cybersecurity problems packaged with verifiers and reward signals.” its page

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

  50. “Pre-built datasets spanning RL environments, coding, and core capabilities.” its page

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

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

    Data comes from: generated, replicas of real software.

  52. “Scripted and spontaneous recordings from diverse speaker populations.” its page

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

Other kinds of data