By kind of data

Security AI training data providers.

14 companies say on their own websites that they sell datasets and work on security. 7 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. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

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

    Data comes from: replicas of real software.

  9. “Security environments, adaptive red-teaming evaluations, and adversarial training data for AI agents.” its page

    Data comes from: made by experts and contractors.

  10. “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.

  11. “building systems that generate cyber data at scale” its page

    Data comes from: not stated.

  12. “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.

  13. “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.

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

    Data comes from: not stated.

Other kinds of data