By kind of data

Medical AI training data providers.

41 companies say on their own websites that they sell datasets and work on medical. 23 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. 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.

  7. 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.

  8. 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.

  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. 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. 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.

  12. 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.

  13. Kled

    #21 overall, $100M valuation, 2025

    “We curate high-quality datasets, including video, music, and transcriptions, enriched with metadata to ensure accurate, ethical AI training and optimal model performance.” its page

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

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. BioStack Platforms

    #41 overall, $9.5M raised in total

    “Get novel pre-clinical and medical datasets, perform causal inference, and generate data points for pre / post training.” its page

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

  21. 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.

  22. Latch

    #49 overall, $5M raised in total

    “A 30M cell observational atlas spanning 150 diseases, 200 tissues and 27 technologies” its page

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

  23. Gradient Health

    #52 overall, $2.8M raised in total

    “Gradient Health is a medical technology company providing foundation model-scale medical imaging datasets to accelerate equitable health innovations.” its page

    Data comes from: licensed from its owners.

  24. “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.

  25. “High-quality datasets. Domain-specific data that reflects the real complexity of regulated work.” its page

    Data comes from: made by experts and contractors.

  26. “We source long-form, natural conversations between real speakers so voice models learn interruptions, turn-taking, accent variation, and messy production speech.” its page

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

  27. “Cerebro is now the data refinery that turns raw operational data into training-grade datasets: SFT data, RL data, and RL environments graded on real outcomes.” its page

    Data comes from: the client's own data, generated.

  28. “We empower more than 900 AI enterprises with our high-quality off-the-shelf datasets, and magnificent data collection & labeling services.” its page

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

  29. “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.

  30. “Humyn Labs builds custom AI training datasets across voice, image, video, and sensor modalities collected and annotated by verified domain experts with multi-layer quality control.” its page

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

  31. “Large-scale conversational datasets across 22 official Indian languages.” its page

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

  32. “Collect, annotate, and ship training-ready egocentric and multimodal robotics datasets with verified quality.” its page

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

  33. “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.

  34. “Read Perplexity's DRACO announcement and technical report, or explore the DRACO dataset on Hugging Face.” its page

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

  35. “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.

  36. “We’ve built Sepal AI - the data development platform that enables you to curate useful datasets.” its page

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

  37. “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.

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

    Data comes from: the client's own data.

  39. “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.

  40. “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.

  41. “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