By kind of data

Finance AI training data providers.

44 companies say on their own websites that they sell datasets and work on finance. 20 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. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. Poindexter Labs

    #53 overall, $2.7M raised in total

    “Poindexter Labs creates high-fidelity reasoning data and secure collaborative workflows that help frontier AI teams train, evaluate and improve advanced models.” its page

    Data comes from: made by experts and contractors.

  21. “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.

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

    Data comes from: made by experts and contractors.

  23. “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.

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

    Data comes from: replicas of real software.

  25. “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.

  26. “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.

  27. “Worked examples, training records and financial alignment data from real financial decisions, reviewed by our credit team.” its page

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

  28. “Turning financial markets into datasets for enterprises” its page

    Data comes from: not stated.

  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. “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.

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

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

  32. “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.

  33. “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.

  34. “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.

  35. “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.

  36. “RL- and SFT-ready training pack for financial fraud” its page

    Data comes from: made by experts and contractors.

  37. “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.

  38. “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.

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

    Data comes from: the client's own data.

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

    Data comes from: not stated.

  41. “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.

  42. “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.

  43. “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.

  44. “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