Multi-Domain
Platforms that build environments, evals, and benchmarks across many domains at once: generalist environment foundries serving frontier labs with everything from coding to customer support. Scale is their moat: thousands of environments, expert networks in every field, and pipelines that turn any workflow into a training ground.
14 startups
| Name | Domains | Location | Team | Funding | Raising |
|---|---|---|---|---|---|
| AfterQuery Expert human data and RL environments across code, finance, and computer use | Multi-Domain, Coding, Finance | San Francisco, New York, Seattle | 51-100 | $30.5M total (reported) | - |
| Artificial Analysis Independent benchmarking of AI models across intelligence, speed, and price | Multi-Domain, Machine Learning | San Francisco | 11-25 | $2.6M (2024) | - |
| Fleet RL gyms replicating real enterprise software like Salesforce and Excel | Multi-Domain, Enterprise, Computer Use, Simulation | San Francisco, New York | 26-50 | Seed, $15M (Sequoia, Menlo Ventures, SV Angel) | Yes |
| Handshake Career network turned human-data and RL environments provider via Handshake AI | Multi-Domain, Data Labeling, RLHF | San Francisco, New York, Bangalore, Berlin | 250+ | Series F, $200M (2022, ~$3.5B valuation) | - |
| LMArena Crowdsourced model leaderboards from the Chatbot Arena team | Multi-Domain, Machine Learning | San Francisco, Berkeley | 26-50 | $100M seed (a16z, UC Investments, 2025); $150M at $1.7B valuation (Jan 2026) | - |
| Mercor Expert marketplace powering evals and RL environments for frontier labs | Multi-Domain, Data Labeling, RLHF | San Francisco | 250+ | Series C, $350M at $10B valuation (Oct 2025) | Yes |
| Micro1 Vetted domain experts for AI training data and evals | Data Labeling, Multi-Domain, RLHF | Los Angeles | 101-250 | Series A, $35M at $500M valuation (Sept 2025) | - |
| Pareto Expert data workforce for RLHF, evals, and tool-use environments | Multi-Domain, Tool Use, Data Labeling, RLHF | San Francisco | 26-50 | - | - |
| Prime Intellect Open superintelligence stack: compute, RL environments hub, and sandboxes | Machine Learning, Agents Infrastructure, Multi-Domain | San Francisco | 26-50 | Series A, $130M at $1B valuation (2026); $150M+ total | - |
| Rise Data Labs US-based expert human data and custom RL environments for enterprise AI | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | United States | - | - | Yes |
| Scale Data-labeling incumbent extending into agent evals and RL environments | Multi-Domain, Coding, Data Labeling, RLHF | San Francisco, New York, Washington DC, London | 250+ | $1.6B+ raised; Meta invested $14.3B at ~$29B valuation (June 2025) | - |
| Snorkel Programmatic data platform expanding into expert evals and RL environments | Multi-Domain, Coding, Machine Learning, Data Labeling, RLHF | San Francisco, Redwood City, New York | 101-250 | Series D, $100M at $1.3B valuation (2025) | - |
| Surge Bootstrapped human-data leader with a dedicated RL environments org | Multi-Domain, Data Labeling, RLHF | San Francisco, New York, Seattle | 101-250 | Bootstrapped; reported in talks to raise ~$1B at $25B+ valuation (2025) | Yes |
| Turing AGI infrastructure: coding data and RL environments at scale | Coding, Multi-Domain, Data Labeling, RLHF | San Francisco, Palo Alto, Gurugram | 250+ | Series E, $111M at $2.2B valuation (2025) | - |