By kind of data

Speech and audio AI training data providers.

32 companies say on their own websites that they sell datasets and work on speech and audio. 16 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. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. David AI

    #29 overall, $50M raised in total

    “Our flagship English dataset consists of channel-separated, natural two-speaker conversations spanning a wide range of topics.” its page

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

  9. 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.

  10. Luel

    #34 overall, $31.2M raised in total

    “Explore, license, and analyze production-ready datasets or brief us on a custom build we scope from scratch.” its page

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

  11. 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.

  12. 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.

  13. 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.

  14. Human Archive

    #44 overall, $8.2M raised in total

    “Leading frontier AI labs trust us for their video, sensor, robot deployment, image, and audio datasets.” its page

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

  15. clickworker

    #46 overall, $6M raised in total

    “We deliver tailor-made AI training datasets” its page

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

  16. 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.

  17. “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.

  18. “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.

  19. “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.

  20. “Datoric develops custom datasets for robotics, treating research, collection, verification, and production as one continuous process.” its page

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

  21. “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.

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

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

  23. “Access pre-built, curated datasets ready for immediate use.” its page

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

  24. “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.

  25. “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.

  26. “We package training-ready datasets, evaluation sets, and environments for secure delivery.” its page

    Data comes from: recorded from people and the real world, licensed from its owners.

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

    Data comes from: the client's own data.

  28. “Train your ML models with text, audio, image, video, locale-specific, or synthetic AI data” its page

    Data comes from: made by experts and contractors.

  29. “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.

  30. “High-quality labeled datasets with real-world data and synthetic samples for AI models, machine learning, and generative AI” its page

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

  31. “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.

  32. “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