{ "name": "What is paid to build RL environments and UI gyms", "title": "What is paid to build RL environments and UI gyms", "kind": "terms-board", "url": "https://aisandboxenvironments.com/datasets/sandbox-environment-buyers-and-specs/", "csv": "https://aisandboxenvironments.com/datasets/sandbox-environment-buyers-and-specs.csv", "markdown": "https://aisandboxenvironments.com/datasets/sandbox-environment-buyers-and-specs/index.md", "computed_at": "2026-10-08", "license": "https://aisandboxenvironments.com/terms", "headline": "4 of 12 builders, buyers and platforms for RL environments and UI gyms publish what is paid on the pages we read, read 8 October 2026.", "quotes": [ "4 of 12 builders, buyers and platforms for RL environments and UI gyms publish what is paid on the pages we read, read 8 October 2026.", "Publishes a figure, by payer: no figure published 8 of 12, publishes a figure 4 of 12 (12 payers, read 8 October 2026).", "Unit of the figure, by payer: not stated 8 of 12, a contract or deal 1 of 12, per hour of building 1 of 12, per task 1 of 12, annual salary 1 of 12 (12 payers, read 8 October 2026).", "Low end of the stated figure, by payer: not stated 9 of 12, a figure in US dollars 2 of 12, varies 1 of 12 (12 payers, read 8 October 2026).", "High end of the stated figure, by payer: not stated 9 of 12, a figure in US dollars 2 of 12, varies 1 of 12 (12 payers, read 8 October 2026).", "What is built, by payer: stated 11 of 12, not stated 1 of 12 (12 payers, read 8 October 2026)." ], "citation": "\"What is paid to build RL environments and UI gyms\", updated 2026-10-08, https://aisandboxenvironments.com/datasets/sandbox-environment-buyers-and-specs/.", "national": { "n": 12, "unit": "payers", "documents": 15, "published_sources": 12, "named_sources": 23 }, "board": { "type": "clauses", "noun": { "one": "payer", "many": "payers" }, "document": { "one": "page", "many": "pages" }, "fields": [ { "id": "publishes_figure", "label": "Publishes a figure", "counts": { "published": 4, "none": 8 }, "values": [ { "value": "published", "text": "publishes a figure" }, { "value": "none", "text": "no figure published" } ] }, { "id": "unit", "label": "Unit of the figure", "counts": { "contract": 1, "per-task": 1, "not-stated": 8, "salary": 1, "per-hour": 1 }, "values": [ { "value": "per-task", "text": "per task" }, { "value": "per-environment", "text": "per environment or clone" }, { "value": "per-hour", "text": "per hour of building" }, { "value": "per-environment-hour", "text": "per hour an environment runs" }, { "value": "contract", "text": "a contract or deal" }, { "value": "salary", "text": "annual salary" } ] }, { "id": "low", "label": "Low end of the stated figure", "counts": { "not-stated": 9, "USD": 2, "varies": 1 }, "values": [ { "value": "USD", "text": "a figure in US dollars" } ] }, { "id": "high", "label": "High end of the stated figure", "counts": { "not-stated": 9, "USD": 2, "varies": 1 }, "values": [ { "value": "USD", "text": "a figure in US dollars" } ] }, { "id": "spec", "label": "What is built", "counts": { "not-stated": 1, "stated": 11 }, "values": [ { "value": "stated", "text": "stated" } ], "clause": true } ], "lead": { "type": "share", "field": "publishes_figure", "value": "published", "n": 4, "of": 12, "label": "Payers that publish a figure" }, "vendors": [ { "name": "Anthropic and OpenAI", "answers": { "publishes_figure": { "value": "published", "text": "publishes a figure", "documents": [ { "document": "Prolific: 2026 guide to enterprise RL environments", "url": "https://www.prolific.com/resources/rl-environments-for-agentic-ai-the-2026-guide-to-building-and-deploying-enterprise-rl-environments", "value": "published", "quote": "In 2025, Anthropic planned to spend over $1 billion on reinforcement learning environments over the next year, and OpenAI signed multiple seven-figure environment contracts in the same window." } ] }, "unit": { "value": "contract", "text": "a contract or deal", "documents": [ { "document": "Prolific: 2026 guide to enterprise RL environments", "url": "https://www.prolific.com/resources/rl-environments-for-agentic-ai-the-2026-guide-to-building-and-deploying-enterprise-rl-environments", "value": "contract", "quote": "OpenAI signed multiple seven-figure environment contracts in the same window" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Prolific: 2026 guide to enterprise RL environments", "url": "https://www.prolific.com/resources/rl-environments-for-agentic-ai-the-2026-guide-to-building-and-deploying-enterprise-rl-environments", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Prolific: 2026 guide to enterprise RL environments", "url": "https://www.prolific.com/resources/rl-environments-for-agentic-ai-the-2026-guide-to-building-and-deploying-enterprise-rl-environments", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Prolific: 2026 guide to enterprise RL environments", "url": "https://www.prolific.com/resources/rl-environments-for-agentic-ai-the-2026-guide-to-building-and-deploying-enterprise-rl-environments", "value": "not-stated", "quote": "" } ] } } }, { "name": "Careerflow", "answers": { "publishes_figure": { "value": "published", "text": "publishes a figure", "documents": [ { "document": "Careerflow: AI/ML Software Engineer, Task Creator (RL Environments)", "url": "https://jobs.techstars.com/companies/careerflow/jobs/91150177-ai-ml-software-engineer-task-creator-rl-environments-contract", "value": "published", "quote": "$50 USD per task, paid once the task is accepted and approved in review." } ] }, "unit": { "value": "per-task", "text": "per task", "documents": [ { "document": "Careerflow: AI/ML Software Engineer, Task Creator (RL Environments)", "url": "https://jobs.techstars.com/companies/careerflow/jobs/91150177-ai-ml-software-engineer-task-creator-rl-environments-contract", "value": "per-task", "quote": "$50 USD per task, paid once the task is accepted and approved in review." } ] }, "low": { "value": "50", "text": "50 USD", "documents": [ { "document": "Careerflow: AI/ML Software Engineer, Task Creator (RL Environments)", "url": "https://jobs.techstars.com/companies/careerflow/jobs/91150177-ai-ml-software-engineer-task-creator-rl-environments-contract", "value": "50", "quote": "$50 USD per task, paid once the task is accepted and approved in review." } ] }, "high": { "value": "50", "text": "50 USD", "documents": [ { "document": "Careerflow: AI/ML Software Engineer, Task Creator (RL Environments)", "url": "https://jobs.techstars.com/companies/careerflow/jobs/91150177-ai-ml-software-engineer-task-creator-rl-environments-contract", "value": "50", "quote": "$50 USD per task, paid once the task is accepted and approved in review." } ] }, "spec": { "value": "stated", "text": "Each task is a small scenario running on a Linux desktop…", "documents": [ { "document": "Careerflow: AI/ML Software Engineer, Task Creator (RL Environments)", "url": "https://jobs.techstars.com/companies/careerflow/jobs/91150177-ai-ml-software-engineer-task-creator-rl-environments-contract", "value": "stated", "quote": "Each task is a small scenario running on a Linux desktop — real files, real applications, real documents — plus a program that automatically checks whatever the agent produced." } ] } } }, { "name": "Collinear", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Collinear home page", "url": "https://www.collinear.ai/", "value": "none", "quote": "Every simulation lab is a self-contained world where your agent operates, complete with the users, tools, data, and tasks it will face in production." } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Collinear home page", "url": "https://www.collinear.ai/", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Collinear home page", "url": "https://www.collinear.ai/", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Collinear home page", "url": "https://www.collinear.ai/", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "From GUIs and APIs to MCP, CLI, GitHub, Jira, ServiceNow, and Salesforce", "documents": [ { "document": "Collinear home page", "url": "https://www.collinear.ai/", "value": "stated", "quote": "From GUIs and APIs to MCP, CLI, GitHub, Jira, ServiceNow, and Salesforce" } ] } } }, { "name": "Deeptune", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Deeptune home page", "url": "https://www.deeptune.com/", "value": "none", "quote": "We build training gyms for frontier research labs." } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Deeptune home page", "url": "https://www.deeptune.com/", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Deeptune home page", "url": "https://www.deeptune.com/", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Deeptune home page", "url": "https://www.deeptune.com/", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "We've built 100s of gyms that mimic popular software like Slack and Salesforce.", "documents": [ { "document": "Deeptune home page", "url": "https://www.deeptune.com/", "value": "stated", "quote": "We've built 100s of gyms that mimic popular software like Slack and Salesforce." } ] } } }, { "name": "Halluminate", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Halluminate home page", "url": "https://www.halluminate.ai/", "value": "none", "quote": "Halluminate is a data research lab building benchmarks and RL environments to push the frontier of AI in knowledge work." }, { "document": "YC launch: Halluminate, data and sandboxes to train computer use AI", "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai", "value": "none", "quote": "Halluminate is building realistic sandboxes and datasets to train better computer/browser use AI." } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Halluminate home page", "url": "https://www.halluminate.ai/", "value": "not-stated", "quote": "" }, { "document": "YC launch: Halluminate, data and sandboxes to train computer use AI", "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Halluminate home page", "url": "https://www.halluminate.ai/", "value": "not-stated", "quote": "" }, { "document": "YC launch: Halluminate, data and sandboxes to train computer use AI", "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Halluminate home page", "url": "https://www.halluminate.ai/", "value": "not-stated", "quote": "" }, { "document": "YC launch: Halluminate, data and sandboxes to train computer use AI", "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "It draws on anonymized data from real private transactions, runs inside dynamic desktop…", "documents": [ { "document": "Halluminate home page", "url": "https://www.halluminate.ai/", "value": "stated", "quote": "It draws on anonymized data from real private transactions, runs inside dynamic desktop environments, and spans trajectories that reach hundreds of steps." }, { "document": "YC launch: Halluminate, data and sandboxes to train computer use AI", "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai", "value": "stated", "quote": "Halluminate is building realistic sandboxes and datasets to train better computer/browser use AI." } ] } } }, { "name": "HUD", "answers": { "publishes_figure": { "value": "published", "text": "publishes a figure", "documents": [ { "document": "HUD: Research Engineer (YC jobs)", "url": "https://www.ycombinator.com/companies/hud/jobs/9sXeoEj-research-engineer-general", "value": "published", "quote": "San Francisco (and other major US cities): $135,000 - $230,000" } ] }, "unit": { "value": "salary", "text": "annual salary", "documents": [ { "document": "HUD: Research Engineer (YC jobs)", "url": "https://www.ycombinator.com/companies/hud/jobs/9sXeoEj-research-engineer-general", "value": "salary", "quote": "Actual offers are adjusted for experience and location, but our base salary bands are" } ] }, "low": { "value": "135000", "text": "135000 USD", "documents": [ { "document": "HUD: Research Engineer (YC jobs)", "url": "https://www.ycombinator.com/companies/hud/jobs/9sXeoEj-research-engineer-general", "value": "135000", "quote": "San Francisco (and other major US cities): $135,000 - $230,000" } ] }, "high": { "value": "230000", "text": "230000 USD", "documents": [ { "document": "HUD: Research Engineer (YC jobs)", "url": "https://www.ycombinator.com/companies/hud/jobs/9sXeoEj-research-engineer-general", "value": "230000", "quote": "San Francisco (and other major US cities): $135,000 - $230,000" } ] }, "spec": { "value": "stated", "text": "HUD's mission is to build reliable, fair and open infrastructure for AI data.", "documents": [ { "document": "HUD: Research Engineer (YC jobs)", "url": "https://www.ycombinator.com/companies/hud/jobs/9sXeoEj-research-engineer-general", "value": "stated", "quote": "HUD's mission is to build reliable, fair and open infrastructure for AI data." } ] } } }, { "name": "Keymakr", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Keymakr: virtual environments and RL gyms", "url": "https://keymakr.com/virtual-environments.html", "value": "none", "quote": "We can help build, manage, and scale high-fidelity reinforcement learning environments (RL-Gyms) where your agents can learn to reason, plan, and recover from errors." } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Keymakr: virtual environments and RL gyms", "url": "https://keymakr.com/virtual-environments.html", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Keymakr: virtual environments and RL gyms", "url": "https://keymakr.com/virtual-environments.html", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Keymakr: virtual environments and RL gyms", "url": "https://keymakr.com/virtual-environments.html", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "Environments that replicate your target deployment - a Unix shell, a Salesforce CRM…", "documents": [ { "document": "Keymakr: virtual environments and RL gyms", "url": "https://keymakr.com/virtual-environments.html", "value": "stated", "quote": "Environments that replicate your target deployment - a Unix shell, a Salesforce CRM sandbox, or a live e-commerce site replica." } ] } } }, { "name": "Mechanize", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Mechanize home page", "url": "https://www.mechanize.work", "value": "none", "quote": "We build environments and evals for frontier coding agents." } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Mechanize home page", "url": "https://www.mechanize.work", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Mechanize home page", "url": "https://www.mechanize.work", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Mechanize home page", "url": "https://www.mechanize.work", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "In these environments, models carry out software engineering work such as building a…", "documents": [ { "document": "Mechanize home page", "url": "https://www.mechanize.work", "value": "stated", "quote": "In these environments, models carry out software engineering work such as building a feature, deploying an application, or debugging an issue in an unfamiliar codebase." } ] } } }, { "name": "Mercor", "answers": { "publishes_figure": { "value": "published", "text": "publishes a figure", "documents": [ { "document": "Mercor: Experienced Software Engineers (RL environments)", "url": "https://work.mercor.com/jobs/list_AAABmGFJ15HzTwuYrydOQJn2/experienced-software-engineers", "value": "published", "quote": "New opportunity Early applicant $75-$100 per hour" }, { "document": "Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (India)", "url": "https://work.mercor.com/jobs/list_AAABmWu3eSKR9nSVhWNLZajY/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai", "value": "published", "quote": "1 hired this month Early applicant $25-$30 per hour" } ] }, "unit": { "value": "per-hour", "text": "per hour of building", "documents": [ { "document": "Mercor: Experienced Software Engineers (RL environments)", "url": "https://work.mercor.com/jobs/list_AAABmGFJ15HzTwuYrydOQJn2/experienced-software-engineers", "value": "per-hour", "quote": "New opportunity Early applicant $75-$100 per hour" }, { "document": "Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (India)", "url": "https://work.mercor.com/jobs/list_AAABmWu3eSKR9nSVhWNLZajY/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai", "value": "per-hour", "quote": "1 hired this month Early applicant $25-$30 per hour" } ] }, "low": { "value": "varies", "text": "varies by document", "documents": [ { "document": "Mercor: Experienced Software Engineers (RL environments)", "url": "https://work.mercor.com/jobs/list_AAABmGFJ15HzTwuYrydOQJn2/experienced-software-engineers", "value": "75", "quote": "New opportunity Early applicant $75-$100 per hour" }, { "document": "Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (India)", "url": "https://work.mercor.com/jobs/list_AAABmWu3eSKR9nSVhWNLZajY/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai", "value": "25", "quote": "1 hired this month Early applicant $25-$30 per hour" } ] }, "high": { "value": "varies", "text": "varies by document", "documents": [ { "document": "Mercor: Experienced Software Engineers (RL environments)", "url": "https://work.mercor.com/jobs/list_AAABmGFJ15HzTwuYrydOQJn2/experienced-software-engineers", "value": "100", "quote": "New opportunity Early applicant $75-$100 per hour" }, { "document": "Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (India)", "url": "https://work.mercor.com/jobs/list_AAABmWu3eSKR9nSVhWNLZajY/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai", "value": "30", "quote": "1 hired this month Early applicant $25-$30 per hour" } ] }, "spec": { "value": "stated", "text": "Your role will focus on designing, developing, and maintaining high performance RL…", "documents": [ { "document": "Mercor: Experienced Software Engineers (RL environments)", "url": "https://work.mercor.com/jobs/list_AAABmGFJ15HzTwuYrydOQJn2/experienced-software-engineers", "value": "stated", "quote": "Your role will focus on designing, developing, and maintaining high performance RL environments." }, { "document": "Mercor: Technical Reviewer, RL Environment Terminal Benchmarking (India)", "url": "https://work.mercor.com/jobs/list_AAABmWu3eSKR9nSVhWNLZajY/technical-reviewer-rl-environment-terminal-benchmarking-agentic-ai", "value": "stated", "quote": "To review, validate, and improve reinforcement learning environment benchmarking pipelines" } ] } } }, { "name": "Prime Intellect", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Prime Intellect Environments Hub listing", "url": "https://app.primeintellect.ai/dashboard/environments", "value": "not-stated", "quote": "" }, { "document": "Prime Intellect: Environments Hub launch", "url": "https://www.primeintellect.ai/blog/environments", "value": "none", "quote": "If you are interested in RL environments that don't have a bounty figure listed yet, just ask and we'll figure something out based on the difficulty scale we're using." } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Prime Intellect Environments Hub listing", "url": "https://app.primeintellect.ai/dashboard/environments", "value": "not-stated", "quote": "" }, { "document": "Prime Intellect: Environments Hub launch", "url": "https://www.primeintellect.ai/blog/environments", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Prime Intellect Environments Hub listing", "url": "https://app.primeintellect.ai/dashboard/environments", "value": "not-stated", "quote": "" }, { "document": "Prime Intellect: Environments Hub launch", "url": "https://www.primeintellect.ai/blog/environments", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Prime Intellect Environments Hub listing", "url": "https://app.primeintellect.ai/dashboard/environments", "value": "not-stated", "quote": "" }, { "document": "Prime Intellect: Environments Hub launch", "url": "https://www.primeintellect.ai/blog/environments", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "DeepSWE long-horizon software engineering tasks from Harbor Hub.", "documents": [ { "document": "Prime Intellect Environments Hub listing", "url": "https://app.primeintellect.ai/dashboard/environments", "value": "stated", "quote": "DeepSWE long-horizon software engineering tasks from Harbor Hub." }, { "document": "Prime Intellect: Environments Hub launch", "url": "https://www.primeintellect.ai/blog/environments", "value": "stated", "quote": "Prime Sandboxes are fully capable Linux virtual machines built for agentic training, with pricing designed for thousands of concurrent instances." } ] } } }, { "name": "Surge AI", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Surge AI: RL Environments Architect", "url": "https://surgehq.ai/careers/rl-environments-architect", "value": "none", "quote": "As an RL Environments Architect, you’ll design, instrument, and govern the simulated worlds where agents learn" } ] }, "unit": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Surge AI: RL Environments Architect", "url": "https://surgehq.ai/careers/rl-environments-architect", "value": "not-stated", "quote": "" } ] }, "low": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Surge AI: RL Environments Architect", "url": "https://surgehq.ai/careers/rl-environments-architect", "value": "not-stated", "quote": "" } ] }, "high": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Surge AI: RL Environments Architect", "url": "https://surgehq.ai/careers/rl-environments-architect", "value": "not-stated", "quote": "" } ] }, "spec": { "value": "stated", "text": "Architect a modular environment framework with clear APIs, curriculum scaffolds, and…", "documents": [ { "document": "Surge AI: RL Environments Architect", "url": "https://surgehq.ai/careers/rl-environments-architect", "value": "stated", "quote": "Architect a modular environment framework with clear APIs, curriculum scaffolds, and configurable reward/termination schemas" } ] } } }, { "name": "Veris AI", "answers": { "publishes_figure": { "value": "none", "text": "no figure published", "documents": [ { "document": "Veris AI home page", "url": "https://www.veris.ai/", "value": "none", "quote": "A simulated copy of your systems, data, APIs, and users, where AI gets tested, trained, and built against before it ever touches production." } ] }, "unit": { "value": 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the publisher's postings, pricing and buyer pages", "class": "primary-provider-own-site", "status": "read" }, { "url": "https://www.veris.ai/", "label": "Veris", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "primary-provider-own-site", "status": "read" }, { "url": "https://www.deeptune.com/", "label": "Deeptune", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "primary-provider-own-site", "status": "read" }, { "url": "https://keymakr.com/virtual-environments.html", "label": "Keymakr: virtual environments and RL gyms", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "primary-provider-own-site", "status": "read" }, { "url": "https://www.prolific.com/resources/rl-environments-for-agentic-ai-the-2026-guide-to-building-and-deploying-enterprise-rl-environments", "label": "Prolific: 2026 guide to enterprise RL environments", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "primary-provider-own-site", "status": "read" }, { "url": "https://epochai.substack.com/p/an-faq-on-reinforcement-learning", "label": "Epoch AI: FAQ on RL environments", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "secondary", "status": "not-terms", "why": "the charter admits it for: reported market figures ($200-$2,000 a task; ~$20k for complex tasks) cited as reported, never as a vendor's price" }, { "url": "https://newsletter.semianalysis.com/p/rl-environments-and-rl-for-science", "label": "SemiAnalysis: RL environments and RL for science", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "secondary", "status": "not-terms", "why": "the charter admits it for: the reported ~$20,000 per UI-gym site, cited as reported" }, { "url": "https://www.rl-list.com/", "label": "rl-list.com directory", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "secondary", "status": "not-terms", "why": "rl-list.com is a third-party directory of RL environment companies; its figures are funding rounds, not what is paid for environments" }, { "url": "https://www.rl-list.com/rl-environments-for-computer-use", "label": "rl-list.com: computer-use environments", "license": "quoted for reporting from the publisher's postings, pricing and buyer pages", "class": "secondary", "status": "not-terms", "why": "rl-list.com's computer-use page is a third-party directory; its figures are funding rounds, not what is paid for environments" } ], "methodology": "Each payer's own postings, pricing and buyer pages were read through estate-fetch and stored whole (sha256 on every row). For every page, five questions were answered from its own words: publishes a figure, unit of the figure, low end of the stated figure, high end of the stated figure, what is built. Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the page read does not address the question. A payer with several pages reads 'varies' where they disagree. 12 payers, 15 pages.", "embed": "
4 of 12 builders, buyers and platforms for RL environments and UI gyms publish what is paid on the pages we read, read 8 October 2026.
What is paid to build RL environments and UI gyms, aisandboxenvironments.com
" }