Fleet AI builds high-fidelity reinforcement-learning training environments ('gyms') that replicate enterprise software such as Salesforce and Excel, plus browser/desktop workflows, so frontier AI labs and large enterprises can train and evaluate computer-use agents. It ships a Python SDK, a platform API, and the open-source 'Harbor' agent-evaluation/RL-environment tooling, pairing simulated environments with human supervision.
Raised
$15M
Headcount
11-50
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
partial
Backers: Sequoia Capital, Menlo Ventures, SV Angel
AfterQuery is a San Francisco applied-research lab and expert-data company (YC W25). It supplies AI labs with expert-generated SFT and RL data, rubrics, agent environments and computer-use trajectories, drawn from a stated network of nearly 100,000 verified professionals. Forbes reported it was raising at a $3.2B valuation in Sept 2026. NVIDIA's Nemotron 3 Ultra report names AfterQuery tasks in its GDPval training recipe. The company publishes or co-builds real-task benchmarks (FinanceQA, VADER, IDE-Bench, SpreadsheetBench 2, Legora BAR) and is adding forward-deployed enterprise work.
Raised
$30.5M ↑ $30M
Headcount
51-200
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
partial
Backers: Altos Ventures (lead, Series A), The Raine Group, Y Combinator
HUD (Human Union Data, YC W25, formerly hud.so) calls itself the platform for building high-quality post-training datasets. It offers an MIT-licensed SDK for defining RL environments, tasks and graders across coding, browser, computer-use and robotics; a hosted training and eval platform; and DataVendor, a marketplace where independent builders sell RL environments and data to AI labs. It announced a $16M Series A led by Standard Capital in June 2026.
Raised
$16M ↑ $16M
Headcount
11-50
Founded
2025
SOC 2
claimed
Researchers
yes
Open src
yes
Backers: Standard Capital (Series A lead), Y Combinator (W25), Exceptional Capital
Halluminate (YC S25, founded 2024, San Francisco) calls itself a data research lab building benchmarks and RL environments for knowledge work, starting with financial services (PE, IB, due diligence) and consulting. It raised a $30M Series A led by Oak HC/FT in October 2026 ($38.5M total). With about nine people, it says it works with four of the five leading closed-source US AI labs and has a mid-eight-figure revenue run rate (self-reported). Its flagship benchmark is Westworld Finance Diligence Bench.
Raised
$38.5M ↑ $30M
Headcount
1-10
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Oak HC/FT (Series A lead), Y Combinator (S25), Orange Collective
Veris AI sells simulation sandboxes that recreate an agent's production environment (mocked SaaS tools, seeded databases, simulated users) so enterprises can benchmark, regression-test, and RL/SFT-train agents before deployment. In 2026 it added a self-serve tier (Veris Plus), a coding-agent verification product (Agentic SDLC), and public voice-agent benchmarks (VAmoS, VAmoS Pro) backed by arXiv papers.
Raised
$8.5M
Headcount
1-10
Founded
2025
SOC 2
claimed
Researchers
yes
Open src
partial
Backers: Decibel Ventures (lead), Acrew Capital (lead), The House Fund
Huzzle Labs is the applied-AI division of the London talent platform Huzzle (co-founders Ingmar Klein, CEO, and Amit Choudhary, CTO). It builds long-horizon RL environments (coding, computer use, enterprise workflows) and expert trajectory data for frontier labs, drawing on Huzzle's talent network, which it says numbers 300k+. In 2026 it expanded into its own small computer-use models (HuzzleWorld, 1B-8B, self-reported results), a domain benchmark (InsureBench, scores pending), and enterprise custom evals and models deployed on client infrastructure.
Raised
$6M
Headcount
11-50
Founded
2020
SOC 2
Type II
Researchers
yes
Open src
partial
Backers: 10x Founders, Angel Invest, Emerge
Collinear AI runs a Simulation Lab of sandboxed, stateful environments with simulated users (NPCs), tools, tasks and verifiers for agent RL training and evaluation. It now positions itself mainly as a supplier of training data, environments and evals to frontier labs across cybersecurity, software engineering, computer use and complex agent behaviour. Its CWE-bench defensive-cyber benchmark is part of the Artificial Analysis Cyber Index.
Raised
$10M
Headcount
11-50
Founded
2023
SOC 2
Type I
Researchers
yes
Open src
partial
Backers: Engineering Capital, 112 Capital (11.2 Capital), B Capital
BenchFlow is a small, open-source-first 'frontier environment lab' in the Bay Area. It publishes agent benchmarks and environments: SkillsBench and ClawsBench, the env0 simulated workspaces, Robo Use and GenesisBench for embodied agents, and FrontierPhysics. It runs the PostTrain Arena for community-contributed post-training environments and maintains an Apache-2.0 runtime for RL environments, post-training and evals. It has event-level ties to Google DeepMind, Kaggle, Anthropic, Hugging Face and Prime Intellect.
Raised
–
Headcount
1-10
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Founders, Inc. (confirmed via its portfolio page), Y Combinator (reported by aggregator only; no YC directory page found), Pear VC (reported)
Plato (plato.so, Plato Technologies, Inc.) builds simulated worlds for training and evaluating browser and computer-use agents, recreating real websites/software (e.g. Amazon/Airbnb/Gmail-style replicas) as reinforcement-learning environments with structured APIs for interaction, state tracking and scoring. It also offers a 'Computer Use' capability driving a full Linux desktop, positioning at the intersection of browser interaction and enterprise workflow simulation.
Raised
–
Headcount
1-10
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
partial
Pedigree: Pranav Putta (Co-founder/CTO), prior MultiOn, Georgia Institute of Te
AIChamp, formerly a vendor of RL environments ('Virtual Gyms') and expert data for enterprise AI agents, repositioned in 2026 as a vendor-neutral factory digital-twin service. It runs a free 14-day loss check on a manufacturing line, builds a simulation of the costliest station, and invites robot-AI software teams to train and be tested in that twin against a plant-set target before a floor pilot. Under its 'Shared' option it also licenses de-identified factory scenes to robotics and AI companies. It no longer markets RL environments for LLM or software agents.
Raised
$0
Headcount
1-10
Founded
?
SOC 2
unknown
Researchers
?
Open src
no
Pedigree: Self-claimed: 'Built by engineers from Microsoft, Amazon Robotics, Goo
Habitat Inc is a very early-stage San Francisco company (2-10 employees). Third-party market maps (Chemistry VC, SemiAnalysis, AlignList) list it as building reinforcement-learning environments for code and computer-use agent workflows, made of programmatically verifiable problems. Until mid-2026 its own LinkedIn described it as 'RL environments for white-collar work'. By October 2026 that tagline read 'Autonomous firms.', which may signal a repositioning. It has disclosed no funding, customers, publications or security certifications, and its website is a placeholder.
Raised
–
Headcount
1-10
Founded
?
SOC 2
unknown
Researchers
?
Open src
no
Pedigree: Maxim Enis (co-founder), Williams College '24; prior Ramp association
Idler (YC S25, founded 2025, San Francisco) calls itself a frontier data research lab that builds evals and RL environments from real production work. Its public benchmarks are ShelfLife, a digital twin of a live multi-brand e-commerce company; ShelfLife E-Sim, a stateful retail-operations simulator; and CorpLaw, built from a law firm's anonymized data. It also offers private, on-request collections in long-horizon SWE, cybersecurity, recursive self-improvement and terminal agents. The roughly 12-person team is led by Dark Forest/0xPARC co-founder Ivan Chub and says leading frontier labs use its work, without naming any. A $9M Paradigm-led seed was reported by an aggregator in August 2026 but is not confirmed by the company.
Raised
$9M ↑ $9M
Headcount
11-50
Founded
2025
SOC 2
unknown
Researchers
?
Open src
no
Backers: Paradigm (seed lead, reported), Y Combinator (S25)
Scale AI is the data-labeling and AI-data incumbent that has extended into RL environments (simulated web apps, macOS/Windows-like desktop VMs and MCP-tool environments with expert rubrics and automated verifiers). It runs a large public evaluation program through Scale Labs (SWE-Bench Pro, MCP Atlas, Humanity's Last Exam, Remote Labor Index). After Meta's ~$14.3B deal in June 2025 (~49% non-voting stake) and Alexandr Wang's move to Meta, several frontier labs reportedly scaled back work. In 2026 Scale grew mainly in government and enterprise: the Pentagon CDAO agreement ceiling rose to $500M, it acquired ICG Solutions, and Francis deSouza (ex-Google Cloud COO) became CEO in August 2026.
Raised
$1.6B
Headcount
200+
Founded
2016
SOC 2
Type II
Researchers
yes
Open src
no
Backers: Meta Platforms, Accel, Amazon
Snorkel AI is a San Francisco company spun out of the Stanford AI Lab in 2019 and known for the Snorkel weak-supervision project. It now calls itself 'the frontier AI data lab'. In 2025 it moved from selling Snorkel Flow software to an expert Data-as-a-Service model, and it now supplies expert agentic tasks, RL environments (computer-use, terminal and simulated-enterprise), rubrics and evals to AI labs and enterprises. It combines expert contributors with synthetic generation and agent-based QC, maintains Terminal-Bench, and co-authors or hosts agent benchmarks such as OSWorld 2.0, Agents' Last Exam and Senior SWE-bench through a $3M Open Benchmarks Grants program. It raised a $350M Series E at $3.5B in September 2026 and says its ARR passed $375M.
Raised
$585M ↑ $350M
Headcount
201-500
Founded
2019
SOC 2
Type II
Researchers
yes
Open src
partial
Backers: Insight Partners (co-led Series E), S32 (co-led Series E), Addition (led Series D, co-led Series C)
Mercor is a venture-backed expert marketplace and AI-training-data company. It supplies RLHF data, evaluations and reinforcement-learning environments to frontier AI labs and enterprises, drawing on a professional expert network: the homepage cites 30k+ experts, and Mercor's Deeptune post claims more than five million. It started as an AI-recruiting platform, moved into human data and RL, bought Sepal AI (Feb 2026), and announced the acquisition of Deeptune (Jul 2026), which builds simulated enterprise-app 'training gyms'. It publishes the APEX family of professional-task agent benchmarks. Mercor says it reached $2B ARR in June 2026, despite a March 2026 supply-chain data breach.
Raised
$492M
Headcount
51-200
Founded
2023
SOC 2
unknown
Researchers
yes
Open src
partial
Backers: Felicis Ventures (led Series C and Series B), Benchmark, General Catalyst
Prime Intellect sells an open-source-first stack for agentic RL: the Environments Hub (2,500+ community environments plus 365k+ unified SWE, terminal and search tasks), the verifiers, prime-rl and renderers libraries, Lab hosted RL post-training and evals (GA), Prime Sandboxes microVMs (GA), Prime Inference, and GPU compute. After a $130M Series A in July 2026 (TechCrunch reports a $1B valuation) it states $100M+ annualized revenue and 6,000+ customers. It also trains the open INTELLECT models and is the post-training partner in NVIDIA's Nemotron Coalition.
Raised
$150M ↑ $130M
Headcount
11-50
Founded
2023
SOC 2
claimed
Researchers
yes
Open src
yes
Backers: Radical Ventures (led $130M Series A, 2026), NVIDIA Ventures, Intel Capital
Turing is a large incumbent supplier of expert human data to frontier AI labs. It claims 5M+ experts and work with '9/9 frontier labs' (both self-claimed). In 2026 it moved further into verifiable agent environments and evaluations. It launched Turing Frontier in April, set up the Turing Frontier Research Lab, and published benchmarks including CyberStrike (Harbor format, public on Hugging Face), KernelQuest, CEO Bench, SciCode++ and PLSQLBench (with Oracle, per Turing). It also contributed tasks to Terminal-Bench 3.0 and hired a research-heavy CTO, Ece Kamar (ex-Microsoft Research).
Raised
$300M
Headcount
200+
Founded
2018
SOC 2
unknown
Researchers
yes
Open src
partial
Pedigree: Microsoft Research (CTO Ece Kamar, ex-CVP AI Frontiers Lab)
micro1 is a San Francisco AI training-data company founded in 2022 by Ali Ansari. It began as an AI recruiter (Zara) and now uses that system to vet expert contractors. It sells expert human data, frontier evaluations and RL environments to AI labs under the Realm brand, an enterprise agent-evaluation layer called Cortex, and expert-demonstrated robotics data, all run on its flow data platform. To make its 'RL gyms' realistic it pays companies for operational data, and it made a $12.5M late bid for Spirit Airlines' records. TechCrunch reported a $500M gross run rate in August 2026, and Forbes reported a raise of more than $100M at a $4B valuation in September 2026, with frontier labs taking part.
Raised
$138M ↑ $100M
Headcount
51-200
Founded
2022
SOC 2
unknown
Researchers
yes
Open src
partial
Backers: 01 Advisors (Dick Costolo, Adam Bain; led Series A; Bain on board), Two unnamed frontier AI labs (2026 round, reported), Two unnamed xAI co-founders (2026 round, reported)
Deeptune was a New York-based startup building managed reinforcement-learning environments ('training gyms') for computer-use and code, where AI agents practice and are evaluated on realistic digital knowledge-work tasks (simulating tools like Slack and Salesforce). It sold these pre-built environments primarily to frontier AI labs and raised a $43M Series A led by a16z (March 2026). In July 2026 it was acquired by Mercor; the team joined Mercor and Deeptune's environment platform now sits under Mercor. It is therefore no longer ranked as an independent vendor.
Raised
$43M
Headcount
11-50
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
no
Backers: Andreessen Horowitz (a16z, lead), 776, Abstract Ventures
Surge AI is a bootstrapped human-data and RLHF leader for frontier labs (reported $1.2B 2024 revenue). In 2026 it built a large in-house benchmark and RL-environment program (DAYJOB, GDP.pdf/.xlsx, HANDBOOK.md, Chartography, CoreCraft, and the Tuesday Work Index composite), published post-training transfer studies, launched Post-Training Runs and an enterprise offering, and released sample harnesses under Apache-2.0. Anthropic reports results on Surge's GDP.pdf in its Claude Sonnet 5 system card, and Microsoft publicly credits Surge's expert raters. OpenAI's adoption of GDP.pdf is so far claimed only by Surge.
Raised
$0
Headcount
51-200
Founded
2020
SOC 2
unknown
Researchers
yes
Open src
partial
Pedigree: Founder/CEO Edwin Chen: former research scientist at Google, Facebook
Sepal AI was a YC-backed (S24) San Francisco data-research company that built high-quality training data, expert-graded evaluation benchmarks, and reinforcement-learning environments for frontier LLMs, drawing on a network of 20k+ domain experts (PhDs, finance, medical, STEM). It was acquired by Mercor in February 2026; the team joined Mercor and its RL-environment and human-data work now sits under Mercor. It is therefore no longer ranked as an independent vendor.
Raised
$500K
Headcount
?
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
no
Backers: Y Combinator, Metaplanet Holdings, SID Venture Partners