Scale AI
The largest enterprise data engine: annotation, RLHF, evaluation and red-teaming delivered as managed programs for frontier labs and governments.
Read the Scale AI profile →The Directory
Every significant vendor in the AI data market, organized by what they actually sell. Each listing is backed by a full profile built from public sources — including the facts vendors would rather you found later, like unpublished pricing.
The largest enterprise data engine: annotation, RLHF, evaluation and red-teaming delivered as managed programs for frontier labs and governments.
Read the Scale AI profile →The category’s longest-running operator: a publicly traded managed data provider with a crowd of over one million contributors in 170+ countries.
Read the Appen profile →The expert network frontier labs scaled on: vetted doctors, lawyers, bankers and engineers paid hourly to produce evaluations, rubrics and reasoning data.
Read the Mercor profile →An expert network that vets specialists with an AI interviewer and publishes per-role pay ranges — one of the few transparent windows into expert-data pricing.
Read the Micro1 profile →The bootstrapped quality maximalist: over $1 billion in 2024 revenue with no outside capital, built on credentialed experts rather than crowd volume.
Read the Surge AI profile →A data lab selling finished expert work product — demonstrations, preference pairs, graded eval sets and RL environments, each shipped with its rubric and provenance.
Read the Zeton profile →The platform pick: run annotation in-house on published usage pricing, and bolt on expert services (Alignerr) only where you need them.
Read the Labelbox profile →The Stanford spinout that started as programmatic labeling software and now sells research-driven expert datasets, benchmarks and evaluations as a service.
Read the Snorkel AI profile →The transparency benchmark: a self-serve participant platform with fully published pricing and an enforced participant pay floor.
Read the Prolific profile →A verified-expert network whose identity checks — government ID, licence confirmation, recorded interviews — are the product, now selling expert data to AI labs.
Read the CleverX profile →A Paris-built enterprise platform for annotation and LLM evaluation, sold to regulated industries that need data quality controls more than raw labeling volume.
Read the Kili Technology profile →A multimodal annotation platform that has grown an expert-services arm (SME) hiring domain specialists for AI training and evaluation work.
Read the SuperAnnotate profile →A data infrastructure platform — Annotate, Index, Active — built for physical AI: robotics, autonomous vehicles and sensor-heavy multimodal data.
Read the Encord profile →The open-source annotation workhorse: born at Intel, now run by CVAT.ai as a free self-hosted Community edition plus paid cloud and enterprise tiers with published prices.
Read the CVAT profile →The most popular open-source labeling tool — multimodal by design — with HumanSignal selling cloud and enterprise editions and optional expert data services.
Read the Label Studio (HumanSignal) profile →An ETH Zurich spin-off built on one idea: label less, but label the right data — curation and self-supervised pretraining first, annotation second.
Read the Lightly AI profile →A managed data-services company that pairs employed specialist teams with its Scholars expert network — and, since 2026, sits inside EXL.
Read the iMerit profile →The original impact-sourcing annotation company: a Certified B Corp running managed programs with its own full-time workforce in Kenya and Uganda.
Read the Sama profile →A managed-workforce company: trained analyst teams in Nepal and Kenya delivering annotation and data processing as a consumption-priced service.
Read the CloudFactory profile →A US-registered managed annotation company whose India-based workforce and specialist consultants concentrate on healthcare, legal and financial AI data.
Read the Cogito Tech profile →A managed annotation service that does the rarest thing in this market: publishes its per-unit prices, with no minimum order.
Read the Label Your Data profile →A Bangalore staffing-and-annotation firm with a distinct model: its annotators work inside the platform you already use, instead of selling you theirs.
Read the Zilo AI profile →A platform-and-services company built around multi-sensor data — LiDAR fusion annotation for automotive and robotics is its home ground.
Read the BasicAI profile →The London platform company behind Darwin — AI-assisted visual annotation with a low-cost self-serve entry — now also selling document-workflow agents as V7 Go.
Read the V7 profile →An Israeli data-pipeline and annotation platform with a strong autonomous-vehicle story — acquired by Dell Technologies in December 2025.
Read the Dataloop profile →The telecom-owned data giant: TELUS’s digital arm runs one of the world’s largest AI data operations, built on the $935M acquisition of Lionbridge AI.
Read the TELUS Digital profile →A private brokerage where companies describe datasets in plain language and negotiate licenses directly with AI buyers — no public listings, no data upload to start.
Read the FileYield profile →HUD’s marketplace for selling production code, raw data and RL environments to model labs — with codebase grading before buyers ever see the asset.
Read the DataVendor (HUD) profile →A licensing marketplace for real-world video: it aggregates thousands of rights holders and sells labs footage with per-asset rights documentation — and publishes the buyer guides everyone else cites.
Read the Troveo profile →A data buyer with published terms: it licenses de-identified operational records — accounting, CRM, dispatch — from established US companies and pays on delivery and acceptance.
Read the Nyne AI profile →Infrastructure for the top end of video licensing: it prepares premium libraries in place — metadata, embeddings, C2PA provenance — and delivers licensed datasets to labs.
Read the Versos AI profile →We list vendors on public evidence: an operating product or service, identifiable customers or funding, and enough public information to write a fair profile. If your company belongs here — or your profile needs a correction — see Partner with us. Listings are free; accuracy is the whole product.
Last updated: November 8, 2026 · Directory criteria: methodology