AfterQuery is a San Francisco applied-research lab and data platform (YC W25) that supplies frontier AI labs with expert-generated human data (SFT, RL rubrics), agent/RL environments, and computer-use trajectories, drawn from a large network of verified practitioners. It publishes real-task benchmarks such as Terminal-Bench, VADER, FinanceQA, and IDE-Bench, positioning around capturing how domain experts (engineers, financial analysts, lawyers) reason.
Raised
$30.5M ↑ $30M
Headcount
51-200
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Altos Ventures (lead, Series A), The Raine Group, Y Combinator
Huzzle Labs is the AI division of London-based talent platform Huzzle (founded ~2020 by Ingmar Klein, Parham Rakhshanfar, and Amit Choudhary). It positions itself as a human-intelligence data foundry that builds RL environments (code, tool-use, computer-use, long-horizon enterprise workflows), expert trajectory data, and contextual evaluations for frontier AI labs and regulated European enterprises, leveraging Huzzle's vetted PhD/expert network. It bundles environments, human data, and evals in one stack.
Raised
$6M
Headcount
11-50
Founded
2020
SOC 2
Type II
Researchers
yes
Open src
partial
Backers: 10x Founders, Angel Invest, Emerge
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
yes
Backers: Sequoia Capital, Menlo Ventures, SV Angel
Chakra Labs runs Dojo, an open/collaborative reinforcement-learning environment hub for computer-use agents, offering deterministic, frame-accurate clones of production software plus human computer-use trajectory datasets, with native support for the Harbor, Verifiers and Verl RL frameworks. It positions itself as bringing frontier-lab-grade CUA training infrastructure to the broader research community.
Raised
$10.1M ↑ $10.1M
Headcount
11-50
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
yes
Pedigree: Alexander Fung (co-founder), ex-Palantir, Snap/Snapchat, Fin; Compute
Andon Labs is a Y Combinator-backed (W24) startup, formerly Vectorview, building benchmarks and evaluations for AI agents' long-horizon coherence and safety (Vending-Bench, Butter-Bench, Blueprint-Bench) and operating real-world autonomous AI businesses. It is known for high-profile collaborations placing AI-run vending machines/stores in the offices of frontier labs Anthropic (Project Vend) and xAI (Grokbox).
Raised
$500K
Headcount
11-50
Founded
2023
SOC 2
unknown
Researchers
yes
Open src
?
Backers: Y Combinator (W24)
HUD (YC W25, formerly hud.so) is a platform for building reinforcement-learning environments and evaluations for computer-use and browser agents. It lets teams wrap real software/code as agent-callable tools in isolated containers, define tasks and rewards, and run evals/RL at scale via an open-source SDK plus a cloud-hosted gateway. It maintains public benchmarks (OSWorld-Verified contributions, SheetBench-50) and positions frontier AI labs and agent-first startups as its target customers.
Raised
–
Headcount
11-50
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Y Combinator (W25 batch), Exceptional Capital
Halluminate (YC S25, founded 2024, San Francisco) builds managed reinforcement-learning sandbox environments, simulated applications, and human/annotation data plus evaluation benchmarks (WebBench, BrowserBench, Westworld) to train and test computer-use and browser AI agents. Its 2026 site positioning has narrowed toward 'RL environments for financial services' (investment banking, private equity, consulting).
Raised
$160K
Headcount
1-10
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Y Combinator (S25), Orange Collective, Antigravity Capital
Matrices builds reinforcement-learning training environments for frontier AI labs to train agents that use computers and browsers like humans, described as a 'gamified replica of the internet' where thousands of agents learn via RL. The company frames its mission as 'towards self-driving computers' and says it helps labs train computer-use agents (Operator-class systems). Note: this is the correct browser-native entity (matrices.ai / LinkedIn 'matricesapp'), distinct from the similarly named 'Matrice.ai' computer-vision company and 'Matrix AI Network' blockchain project.
Raised
$5M
Headcount
11-50
Founded
2023
SOC 2
unknown
Researchers
?
Open src
no
Backers: Index Ventures, AI Grant (Nat Friedman & Daniel Gross), Naval Ravikant
BenchFlow is an early-stage, YC-backed open-source 'environment lab' building evaluation infrastructure and a community Benchmark Hub for AI agents, with products including SkillsBench, ClawsBench (mock workplace environments) and a sandboxed agent runtime. It positions environments as 'the new data' for training and evaluating agents across domains like enterprise workflows, coding, computer use and browser tasks.
Raised
$1.0M
Headcount
1-10
Founded
2024
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Y Combinator, Pear VC, Construct Capital
Collinear AI operates a 'Simulation Lab' (SimLab) that builds sandboxed, stateful RL environments simulating enterprise users, tools (Jira, ServiceNow, Shopify, EMR, airline/hotel systems) and multi-step workflows, producing training-ready trajectories, reward signals and evals for agentic models. It also offers synthetic post-training data and LLM-judge evaluation, positioning itself around 'environment-as-a-service' for enterprise long-horizon agents.
Raised
–
Headcount
11-50
Founded
2023
SOC 2
unknown
Researchers
yes
Open src
no
Backers: Engineering Capital, Firestreak Ventures, 112 Capital (11.2 Capital)
Refresh (YC X25) builds simulation engines / RL environments with verifiable rewards for coding and computer use, partnering with frontier labs and enterprises to train AI software-engineering and computer-use 'coworker' capabilities across terminal and GUI.
Raised
–
Headcount
1-10
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
no
Backers: Y Combinator
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
no
Pedigree: Pranav Putta (Co-founder/CTO), prior MultiOn, Georgia Institute of Te
Habitat Inc is an early-stage commercial vendor (2-10 employees, New York HQ) building reinforcement-learning environments for white-collar / work automation, with stated focus on code and desktop-style (computer use) interaction tasks for training agentic AI models. It appears in third-party listings of RL-environment suppliers serving AI labs. No funding, customer, or certification information is publicly available.
Raised
–
Headcount
1-10
Founded
?
SOC 2
unknown
Researchers
?
Open src
no
Pedigree: Maxim Enis (co-founder), Williams College '24; prior Ramp association
Scale AI is the data-labeling and AI-data incumbent that has extended into RL environments, offering simulated web apps, macOS/Windows-like desktop VMs, and MCP-tool environments (Slack, HubSpot, Linear) with expert-designed objectives, rubrics, and automated verifiers to train and evaluate agents on long-horizon professional workflows. Following Meta's ~$14.3B June 2025 investment (~49% non-voting stake) and founder Alexandr Wang's departure to Meta, several frontier-lab customers (OpenAI, Google, xAI) reportedly scaled back or paused engagement over conflict-of-interest concerns.
Raised
$1.6B
Headcount
200+
Founded
2016
SOC 2
Type II
Researchers
yes
Open src
no
Backers: Meta Platforms, Accel, Amazon
Daytona provides secure, elastic, programmatic sandboxes ('computers') that AI agents and developers can spin up in under ~90ms to run untrusted AI-generated code in isolated, stateful runtimes. It offers a managed-hosted service plus an open-source self-hostable stack, and is positioned as agent-native execution/runtime infrastructure for code execution, computer use, and RL/eval workloads.
Raised
$31M ↑ $24M
Headcount
11-50
Founded
2023
SOC 2
Type I
Researchers
?
Open src
yes
Backers: FirstMark Capital (Series A lead; Matt Turck joined board), Pace Capital, Upfront Ventures (seed lead, Series A participant)
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
E2B provides open-source, secure cloud sandboxes (built on Firecracker microVMs) for running AI-generated code and AI agents, offered as a hosted API with BYOC/on-prem/self-hosted options. It positions as execution infrastructure for enterprise AI agents and self-claims broad Fortune 100 adoption.
Raised
$32M
Headcount
11-50
Founded
2023
SOC 2
Type II
Researchers
no
Open src
yes
Backers: Insight Partners (Series A lead), Decibel (seed lead), Sunflower Capital
Cua (trycua, YC X25) is open-source MIT-licensed infrastructure for computer-use agents, providing cloud and self-hosted sandboxes across macOS, Windows, Linux, and Android plus an SDK, a virtualization layer (Lume), and a benchmarking/RL-eval suite (Cua-Bench). It positions itself as the 'Docker for computer-use agents,' giving any agent a cloud desktop.
Raised
$500K
Headcount
1-10
Founded
2025
SOC 2
unknown
Researchers
yes
Open src
yes
Backers: Y Combinator (X25 batch)