{
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      "slug": "arena",
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      "funding_note": "$40M total: $31.75M Series A led by Wing VC plus $8.25M seed led by 8VC (announced Jul 2026).",
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      "slug": "build-ai",
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      "slug": "centific",
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      "description": "Provides multilingual datasets, secure data operations and responsible-AI services to model labs and enterprises.",
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      "slug": "chakra",
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      "slug": "claru",
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      "slug": "cloudfactory",
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      "slug": "datacurve",
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      "slug": "david-ai",
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      "slug": "deccan-ai",
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      "slug": "definedai",
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          "note": "Funding source"
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      "data_sources": [
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          "note": "Vendor homepage"
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          "note": "Funding source"
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      "description": "London research lab building infrastructure for long-horizon agents, including hosted RL environments.",
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      "data_sources": [
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      "domains": [
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      "data_sources": [
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      "sources": [
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          "note": "Vendor homepage (self-description)"
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      "checked": "2026-10-15",
      "verification": "homepage only"
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    {
      "slug": "gradient-health",
      "name": "Gradient Health",
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      "description": "De-identified multimodal patient data for medical-AI developers through its Atlas platform.",
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      "domains": [
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      "data_sources": [
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      "sources": [
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          "note": "Vendor homepage (self-description)"
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      "checked": "2026-10-15",
      "verification": "homepage only"
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      "slug": "grayswan",
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      "description": "AI security firm: adversarial testing and runtime protection for LLM applications.",
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      "funding_note": "$40M Series A co-led by Wing VC and Madrona (May 2026); Forbes reported a $200M valuation.",
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          "note": "Vendor homepage"
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          "note": "Funding source"
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          "note": "Funding source"
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          "note": "Funding source"
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      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
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      "slug": "halluminate",
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      "description": "Builds computer-use and tool-use RL environments modeled on banking, private-equity and consulting work.",
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      "funding_note": "$30M Series A led by Oak HC/FT (Oct 2026), per company announcement as tracked by industry trackers.",
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          "note": "Vendor homepage"
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        {
          "url": "https://aidata.broker/records/funding",
          "note": "Funding source"
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      "checked": "2026-10-15",
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      "slug": "handshake",
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      "website": "https://joinhandshake.com/ai",
      "description": "The campus-jobs network runs a paid fellowship that recruits experts and students to produce AI training and evaluation work.",
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      "verification": "homepage only"
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      "slug": "imerit",
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      "description": "Expert-led annotation and fine-tuning services backed by its own workflow tooling.",
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      "funding_note": "Acquired by EXL (closed Jul 31, 2026) for up to $310M, including $170M upfront.",
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          "note": "Vendor homepage"
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        {
          "url": "https://www.exlservice.com/about/newsroom/exl-completes-acquisition-of-imerit-accelerating-enterprise-ai-leadership",
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      "verification": "homepage + funding sources"
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    {
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      "name": "Incalmo",
      "website": "https://incalmo.ai",
      "description": "Autonomous-cybersecurity company building cyber environments for training and testing models.",
      "offerings": [
        "rl-envs",
        "evals"
      ],
      "domains": [
        "security"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://incalmo.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "innodata",
      "name": "Innodata",
      "website": "https://innodata.com",
      "description": "Listed data-engineering firm providing training data, annotation, evaluation and red-teaming.",
      "offerings": [
        "training-data",
        "annotation",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "Public company (NASDAQ: INOD)",
      "sources": [
        {
          "url": "https://innodata.com",
          "note": "Vendor homepage (automated fetch blocked; reviewed manually needed)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "needs-review"
    },
    {
      "slug": "invisible",
      "name": "Invisible Technologies",
      "website": "https://invisibletech.ai",
      "description": "Mixes an expert workforce with orchestration software; supplies post-training data to labs and production AI workflows to enterprises.",
      "offerings": [
        "training-data",
        "human-data",
        "evals"
      ],
      "domains": [
        "multi-domain",
        "enterprise"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$100M growth round at a $2B+ valuation (Sep 2025).",
      "sources": [
        {
          "url": "https://invisibletech.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://aitraining.jobs/research/ai-training-industry-funding",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "kled",
      "name": "Kled",
      "website": "https://kled.ai",
      "description": "Licenses curated datasets (video, music, transcripts with metadata) sourced from rightsholders for model training.",
      "offerings": [
        "training-data"
      ],
      "domains": [
        "multi-domain",
        "creative"
      ],
      "data_sources": [
        "licensed"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://kled.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "labelbox",
      "name": "Labelbox",
      "website": "https://labelbox.com",
      "description": "Started as labeling software; now sells expert data and training environments to frontier labs, plus an agent product for engineering teams.",
      "offerings": [
        "rl-envs",
        "human-data",
        "annotation",
        "training-data"
      ],
      "domains": [
        "multi-domain",
        "coding"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$110M Series D led by SoftBank Vision Fund 2 (Jan 2022).",
      "sources": [
        {
          "url": "https://labelbox.com",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.globenewswire.com/news-release/2022/01/06/2362270/0/en/labelbox-raises-110-million-series-d-led-by-softbank-vision-fund-2.html",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "lightwheel",
      "name": "Lightwheel",
      "website": "https://lightwheel.ai",
      "description": "Makes simulation-ready 3D assets, synthetic and egocentric human data, and evaluation platforms for embodied AI.",
      "offerings": [
        "simulation",
        "training-data",
        "evals"
      ],
      "domains": [
        "robotics"
      ],
      "data_sources": [
        "synthetic",
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://lightwheel.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "luel",
      "name": "Luel",
      "website": "https://luel.ai",
      "description": "Multimodal data lab working on machine perception, supplying rights-cleared contributor data.",
      "offerings": [
        "training-data",
        "human-data"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://luel.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "lxt",
      "name": "LXT",
      "website": "https://lxt.ai",
      "description": "Collects, annotates and evaluates audio, speech, text, image and video data across a very wide range of language locales.",
      "offerings": [
        "training-data",
        "annotation",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://lxt.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "mechanize",
      "name": "Mechanize",
      "website": "https://mechanize.work",
      "description": "Software company that builds RL environments and sells them to leading AI labs.",
      "offerings": [
        "rl-envs"
      ],
      "domains": [
        "coding"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$9.1M at a $500M post-money valuation (Apr 2026); launched Apr 2025 with angel backing.",
      "sources": [
        {
          "url": "https://mechanize.work",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.mechanize.work/mechanize-raises-9-1m/",
          "note": "Funding source"
        },
        {
          "url": "https://www.mechanize.work/announcing-mechanize-inc/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "mecka",
      "name": "Mecka",
      "website": "https://mecka.ai",
      "description": "Captures and structures real-world human activity into datasets and evaluations for robotics teams.",
      "offerings": [
        "training-data",
        "human-data",
        "evals"
      ],
      "domains": [
        "robotics"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://mecka.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "mercor",
      "name": "Mercor",
      "website": "https://mercor.com",
      "description": "Recruits domain experts at scale and turns their work into training data, benchmarks and agent-training tasks for labs and enterprises.",
      "offerings": [
        "human-data",
        "training-data",
        "evals",
        "rl-envs"
      ],
      "domains": [
        "multi-domain",
        "finance",
        "legal",
        "medical"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$350M Series C at $10B led by Felicis (Oct 2025), after a $100M Series B at $2B (Feb 2025).",
      "sources": [
        {
          "url": "https://mercor.com",
          "note": "Vendor homepage"
        },
        {
          "url": "https://techcrunch.com/2025/10/27/mercor-quintuples-valuation-to-10b-with-350m-series-c/",
          "note": "Funding source"
        },
        {
          "url": "https://www.mercor.com/blog/series-c/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "micro1",
      "name": "micro1",
      "website": "https://micro1.ai",
      "description": "Describes itself as a data lab: expert human data, real-world training environments and contextual agent evaluations.",
      "offerings": [
        "human-data",
        "rl-envs",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "Raised >$100M at a $4B valuation (Sep 2026); $35M Series A at $500M (Sep 2025).",
      "sources": [
        {
          "url": "https://micro1.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://dealroom.co/news/155583-micro1-raises-100m-at-4b-valuation-for-ai-training-data/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "midcentury",
      "name": "Midcentury",
      "website": "https://midcentury.xyz",
      "description": "First-person video of real work plus high-fidelity simulation for robot training.",
      "offerings": [
        "training-data",
        "simulation"
      ],
      "domains": [
        "robotics"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://midcentury.xyz",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "moonlake",
      "name": "Moonlake",
      "website": "https://moonlakeai.com",
      "description": "Frontier lab building world models and simulation infrastructure aimed at faster robot deployment.",
      "offerings": [
        "simulation",
        "rl-envs"
      ],
      "domains": [
        "robotics"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://moonlakeai.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "opentrain-ai",
      "name": "OpenTrain AI",
      "website": "https://opentrain.ai",
      "description": "Marketplace for hiring vetted AI trainers and labelers for RLHF, evaluation and annotation.",
      "offerings": [
        "human-data",
        "annotation",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://opentrain.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "pareto",
      "name": "Pareto AI",
      "website": "https://pareto.ai",
      "description": "Expert human-data provider focused on feedback signals that improve frontier models.",
      "offerings": [
        "human-data",
        "training-data",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://pareto.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "patronus",
      "name": "Patronus AI",
      "website": "https://patronus.ai",
      "description": "Research lab building training data and simulated environments for frontier AI, evolving from an evaluation-tools origin.",
      "offerings": [
        "evals",
        "rl-envs",
        "training-data"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "synthetic",
        "expert-made"
      ],
      "funding_note": "$17M Series A led by Notable Capital (May 2024); company also references a $50M Series B.",
      "sources": [
        {
          "url": "https://patronus.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://patronus.ai/announcements/patronus-ai-raises-17-million-to-detect-llm-mistakes-at-scale",
          "note": "Funding source"
        },
        {
          "url": "https://www.patronus.ai/blog/announcing-our-17-million-series-a",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "perle",
      "name": "Perle AI",
      "website": "https://perle.ai",
      "description": "Routes work from a large international pool of credentialed professionals into AI training and evaluation projects.",
      "offerings": [
        "human-data",
        "annotation",
        "evals"
      ],
      "domains": [
        "medical",
        "legal",
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://perle.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "phinity",
      "name": "Phinity Labs",
      "website": "https://phinity.ai",
      "description": "Builds agents that design and verify custom chips, with related RL training work.",
      "offerings": [
        "rl-envs",
        "rl-infra"
      ],
      "domains": [
        "coding"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://phinity.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "plato",
      "name": "Plato",
      "website": "https://plato.so",
      "description": "Simulated web worlds for training and evaluating browser agents.",
      "offerings": [
        "rl-envs",
        "evals"
      ],
      "domains": [
        "computer-use"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://plato.so",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "polymath",
      "name": "Polymath",
      "website": "https://polymathlabs.ai",
      "description": "Simulation environments for training and evaluating long-horizon agents.",
      "offerings": [
        "rl-envs",
        "evals"
      ],
      "domains": [
        "coding",
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://polymathlabs.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "preference-model",
      "name": "Preference Model",
      "website": "https://preferencemodel.com",
      "description": "Research company building RL environments aimed at more capable and better-aligned models.",
      "offerings": [
        "rl-envs"
      ],
      "domains": [
        "coding",
        "science"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://preferencemodel.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "primeintellect",
      "name": "Prime Intellect",
      "website": "https://primeintellect.ai",
      "description": "Open stack spanning compute, training, inference, sandboxes and a hub of RL environments.",
      "offerings": [
        "rl-infra",
        "rl-envs",
        "evals"
      ],
      "domains": [
        "multi-domain",
        "coding",
        "math"
      ],
      "data_sources": [
        "open-data"
      ],
      "funding_note": "$130M Series A at $1B led by Radical Ventures (Jul 2026); >$150M total.",
      "sources": [
        {
          "url": "https://primeintellect.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://techcrunch.com/2026/07/08/prime-intellect-raises-130m-series-a-to-help-enterprises-build-their-own-ai-agents/",
          "note": "Funding source"
        },
        {
          "url": "https://www.primeintellect.ai/blog/series-a",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "prolific",
      "name": "Prolific",
      "website": "https://prolific.com",
      "description": "Self-serve platform for recruiting verified participants and experts to give human feedback and evaluation data.",
      "offerings": [
        "human-data",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "£25M (~$32M) Series A co-led by Partech and Oxford Science Enterprises (Jul 2023).",
      "sources": [
        {
          "url": "https://prolific.com",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.prolific.com/resources/series-a-fundraise",
          "note": "Funding source"
        },
        {
          "url": "https://techcrunch.com/2023/07/11/prolific-raises-32m-to-train-and-stress-test-ai-models-using-its-network-of-120k-people/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "proximal",
      "name": "Proximal",
      "website": "https://proximal.ai",
      "description": "Research lab producing coding data for autonomous coding agents.",
      "offerings": [
        "training-data",
        "rl-envs"
      ],
      "domains": [
        "coding"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://proximal.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "quesma",
      "name": "Quesma",
      "website": "https://quesma.com",
      "description": "Analytics for coding-agent cost and outcomes; also publishes coding-agent benchmarks.",
      "offerings": [
        "evals"
      ],
      "domains": [
        "coding"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://quesma.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "revelo",
      "name": "Revelo",
      "website": "https://revelo.com",
      "description": "Latin American engineering-talent company that now sells code-focused expert data, RL environments and evals to AI labs.",
      "offerings": [
        "training-data",
        "rl-envs",
        "evals",
        "human-data"
      ],
      "domains": [
        "coding"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://revelo.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "runloop",
      "name": "Runloop",
      "website": "https://runloop.ai",
      "description": "Secure code sandboxes and evaluation tooling for building and refining AI coding agents.",
      "offerings": [
        "rl-infra",
        "evals"
      ],
      "domains": [
        "coding"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://runloop.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "sama",
      "name": "Sama",
      "website": "https://sama.com",
      "description": "Annotation company covering computer vision and generative-AI data with human-in-the-loop quality control.",
      "offerings": [
        "annotation",
        "training-data",
        "evals"
      ],
      "domains": [
        "multi-domain",
        "robotics"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$70M Series B led by CDPQ (Nov 2021).",
      "sources": [
        {
          "url": "https://sama.com",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.sama.com/blog/series-b",
          "note": "Funding source"
        },
        {
          "url": "https://techcrunch.com/2021/11/04/sama-taps-into-70m-to-build-first-end-to-end-ai-platform-for-training-data/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "scale",
      "name": "Scale AI",
      "website": "https://scale.com",
      "description": "Long-running supplier of labeled data, human feedback and model evaluations to frontier labs, government agencies and large enterprises.",
      "offerings": [
        "training-data",
        "human-data",
        "evals",
        "annotation"
      ],
      "domains": [
        "multi-domain",
        "coding",
        "enterprise"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "Meta invested $14.3B for a 49% non-voting stake (Jun 2025), valuing Scale at ~$29B.",
      "sources": [
        {
          "url": "https://scale.com",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.reuters.com/business/finance/meta-finalizes-investment-scale-ai-valuing-startup-29-billion-2025-06-13/",
          "note": "Funding source"
        },
        {
          "url": "https://www.cnbc.com/2025/06/12/scale-ai-founder-wang-announces-exit-for-meta-part-of-14-billion-deal.html",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "sieve",
      "name": "Sieve",
      "website": "https://sievedata.com",
      "description": "Multimodal data lab supplying video, audio, image and interaction data to frontier AI.",
      "offerings": [
        "training-data",
        "annotation"
      ],
      "domains": [
        "multi-domain",
        "creative"
      ],
      "data_sources": [
        "licensed"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://sievedata.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "snorkel",
      "name": "Snorkel AI",
      "website": "https://snorkel.ai",
      "description": "Builds specialized datasets, benchmarks and evaluation environments aimed at high-stakes domains for frontier models and agents.",
      "offerings": [
        "training-data",
        "evals",
        "rl-envs"
      ],
      "domains": [
        "multi-domain",
        "finance",
        "legal",
        "medical"
      ],
      "data_sources": [
        "expert-made",
        "synthetic"
      ],
      "funding_note": "$350M Series E at $3.5B led by Insight Partners and S32 (Sep 2026); $100M Series D at $1.3B (2025).",
      "sources": [
        {
          "url": "https://snorkel.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://techcrunch.com/2026/09/22/snorkel-ai-triples-valuation-to-3-5b-as-demand-for-ai-training-data-booms/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "superannotate",
      "name": "SuperAnnotate",
      "website": "https://superannotate.com",
      "description": "Data infrastructure platform paired with managed expert workforces for annotation, evaluation and training-data projects.",
      "offerings": [
        "annotation",
        "human-data",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$36M Series B led by Socium Ventures (Nov 2024).",
      "sources": [
        {
          "url": "https://superannotate.com",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.superannotate.com/blog/superannotate-36m-series-b-funding-round",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "surge",
      "name": "Surge AI",
      "website": "https://surgehq.ai",
      "description": "Human-data company focused on high-skill annotators and RLHF data for frontier model training.",
      "offerings": [
        "human-data",
        "training-data",
        "evals"
      ],
      "domains": [
        "multi-domain",
        "coding"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "No disclosed priced round; reported in 2025 to be raising at $15B–$25B valuations (unconfirmed reports).",
      "sources": [
        {
          "url": "https://surgehq.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://aitraining.jobs/research/ai-training-industry-funding",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "symbal",
      "name": "Symbal",
      "website": "https://symbal.ai",
      "description": "Trains models and deploys them for enterprises while supplying post-training data to frontier labs.",
      "offerings": [
        "training-data",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "customer-data"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://symbal.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "synthetic-sciences",
      "name": "Synthetic Sciences",
      "website": "https://syntheticsciences.ai",
      "description": "AI research lab building infrastructure and evaluations for scientific AI.",
      "offerings": [
        "evals",
        "rl-envs"
      ],
      "domains": [
        "science"
      ],
      "data_sources": [
        "synthetic"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://syntheticsciences.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "taskus",
      "name": "TaskUs",
      "website": "https://taskus.com",
      "description": "Outsourcing company whose AI services cover data labeling, RLHF and safety/red-teaming.",
      "offerings": [
        "annotation",
        "human-data",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "Public company (NASDAQ: TASK)",
      "sources": [
        {
          "url": "https://taskus.com",
          "note": "Vendor homepage (automated fetch blocked; reviewed manually needed)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "needs-review"
    },
    {
      "slug": "taste-labs",
      "name": "Taste Labs",
      "website": "https://tastelabs.ai",
      "description": "Builds infrastructure for bringing brand and creative IP into AI systems, including design-preference data.",
      "offerings": [
        "training-data",
        "evals"
      ],
      "domains": [
        "creative"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://tastelabs.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "telus",
      "name": "TELUS Digital",
      "website": "https://telusdigital.com",
      "description": "Digital-services arm of TELUS offering AI data collection, annotation and evaluation at scale.",
      "offerings": [
        "training-data",
        "annotation",
        "evals"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "Subsidiary of TELUS",
      "sources": [
        {
          "url": "https://telusdigital.com",
          "note": "Vendor homepage (automated fetch blocked; reviewed manually needed)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "needs-review"
    },
    {
      "slug": "toloka",
      "name": "Toloka",
      "website": "https://toloka.ai",
      "description": "Data partner for agentic, coding and safety work, blending human experts with tooling to generate training and evaluation data.",
      "offerings": [
        "training-data",
        "human-data",
        "evals",
        "rl-envs"
      ],
      "domains": [
        "multi-domain",
        "coding",
        "security"
      ],
      "data_sources": [
        "expert-made",
        "synthetic"
      ],
      "funding_note": "$72M strategic investment led by Bezos Expeditions (May 2025); Nebius remains a major shareholder without voting control.",
      "sources": [
        {
          "url": "https://toloka.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.reuters.com/business/amazons-bezos-leads-new-investment-ai-data-company-toloka-2025-05-07/",
          "note": "Funding source"
        },
        {
          "url": "https://toloka.ai/blog/toloka-strategic-investment-led-by-bezos-expeditions/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "trajectory-labs",
      "name": "Trajectory Labs",
      "website": "https://trajectorylabs.com",
      "description": "Public-benefit corporation offering safety evaluations, red teaming and RL environments to frontier labs.",
      "offerings": [
        "evals",
        "rl-envs"
      ],
      "domains": [
        "security"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://trajectorylabs.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "troveo",
      "name": "Troveo",
      "website": "https://troveo.ai",
      "description": "Sources permissioned, non-public business data plus large video, audio and gaming libraries for frontier labs.",
      "offerings": [
        "training-data"
      ],
      "domains": [
        "multi-domain",
        "enterprise"
      ],
      "data_sources": [
        "licensed"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://troveo.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "trustscale",
      "name": "TrustScale (formerly e2f)",
      "website": "https://e2f.com",
      "description": "Long-time language-data provider, now branded TrustScale, that also markets a hallucination-verification product.",
      "offerings": [
        "training-data",
        "evals",
        "annotation"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://e2f.com",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "turing",
      "name": "Turing",
      "website": "https://www.turing.com",
      "description": "Draws on a large engineering talent network to produce coding and reasoning data and help enterprises deploy agents.",
      "offerings": [
        "training-data",
        "human-data",
        "evals",
        "rl-envs"
      ],
      "domains": [
        "coding",
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$111M Series E at $2.2B led by Khazanah Nasional (Mar 2025).",
      "sources": [
        {
          "url": "https://www.turing.com",
          "note": "Vendor homepage (automated fetch blocked; reviewed manually needed)"
        },
        {
          "url": "https://aitraining.jobs/research/ai-training-industry-funding",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "vals",
      "name": "Vals AI",
      "website": "https://vals.ai",
      "description": "Independent testing of models on real-world work, publishing benchmarks across coding, finance, law and more.",
      "offerings": [
        "evals"
      ],
      "domains": [
        "finance",
        "legal",
        "coding"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": "$40M Series A at $400M led by a16z (Aug 2026); earlier $5M seed.",
      "sources": [
        {
          "url": "https://vals.ai",
          "note": "Vendor homepage"
        },
        {
          "url": "https://www.vals.ai/blogs/series-a",
          "note": "Funding source"
        },
        {
          "url": "https://a16z.com/announcement/investing-in-vals/",
          "note": "Funding source"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage + funding sources"
    },
    {
      "slug": "veris",
      "name": "Veris AI",
      "website": "https://veris.ai",
      "description": "Builds simulated copies of a company's systems, data, APIs and users so agents can be tested and trained before production.",
      "offerings": [
        "rl-envs",
        "simulation",
        "evals"
      ],
      "domains": [
        "enterprise"
      ],
      "data_sources": [
        "synthetic",
        "customer-data"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://veris.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "vetto",
      "name": "Vetto",
      "website": "https://vetto.ai",
      "description": "Post-training partner covering RL environments, rubrics and verifiers, RLHF, SFT and expert human evaluation.",
      "offerings": [
        "rl-envs",
        "training-data",
        "evals",
        "human-data"
      ],
      "domains": [
        "multi-domain"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://vetto.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "wirestock",
      "name": "Wirestock",
      "website": "https://wirestock.io",
      "description": "Pays a large creator community to produce photos, video and design work used as licensed AI training data.",
      "offerings": [
        "training-data",
        "human-data"
      ],
      "domains": [
        "creative"
      ],
      "data_sources": [
        "expert-made",
        "licensed"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://wirestock.io",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    },
    {
      "slug": "xdof",
      "name": "XDOF",
      "website": "https://xdof.ai",
      "description": "Robotics company collecting teleoperation data and motion capabilities for autonomous systems.",
      "offerings": [
        "training-data",
        "evals"
      ],
      "domains": [
        "robotics"
      ],
      "data_sources": [
        "expert-made"
      ],
      "funding_note": null,
      "sources": [
        {
          "url": "https://xdof.ai",
          "note": "Vendor homepage (self-description)"
        }
      ],
      "checked": "2026-10-15",
      "verification": "homepage only"
    }
  ]
}