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RL ENVIRONMENT SOURCING FOR AI LABS
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Long-horizon coding, computer use, professional work and autonomous research environments.
4 listed itemsAarush Kukreja, Ayush Karupakula
Aarush Kukreja: Princeton CS · SWE-bench Verified / SWE-agent research at PLI · MIT·Caltech research (per his own bio)
Company size 1–10Coding environments and long-horizon tasks, alongside the public DeepSWE benchmark.
2 listed itemsSerena Ge, Charley Lee
Waterloo CS · Cohere synthetic-data research, Google internship
Company size 11–50Open-ended interpretability research tasks for training AI research agents.
1 listed itemAnish Tondwalkar, Daniel Moon
Daniel Moon: MIT EE BS, EECS MEng
Company size 11–50Quantitative research environments where agents experiment, validate and improve.
1 listed itemRui Wang, Michael Zhang
ETH Zürich · G-Research·TransMarket Group·Etched
Company size 1–10Long-horizon software development environments with running services, databases and deployment tools; samples on request.
1 listed itemJoseph Wang, Sid Patllollu
Team of researchers and engineers (individual backgrounds not disclosed)
Company size 1–10Large off-the-shelf pre-/post-training and RL datasets plus custom petabyte-scale web-data procurement.
2 listed itemsAlana Xiang
All-technical team from Stanford, MIT and Magic.dev
Company size 1–10Human research data and scalable RL environments for AI research and self-improvement.
1 listed itemJun Park, Ibrakhim Ustelbay
Jun Park: DeepMind research engineer · ran IMO·Lean math communities, collaborated with Nous Research
Company size 1–10Environments for software engineering, enterprise work, law, security and AI research.
7 listed itemsIvan Chub, Nalu Concepcion, Tony Goss
Ivan: Dark Forest·0xPARC·Facebook · Nalu: Microsoft·Poshmark·PayMongo
Company size 11–50Long-horizon environments for measurable science, robotics and security outcomes.
1 listed itemSarah Helmbrecht, Dakotah Martinez
Sarah Helmbrecht: NYU Courant math MS · Dakotah Martinez: physics PhD (theoretical physics, HPC)
Company size Not disclosedExpert human training data from a vetted pool of top labelers.
1 listed itemPhoebe Yao
Phoebe Yao: Thiel Fellow
Company size 11–50RL tasks built from licensed private code, with public evaluation trajectories.
1 listed itemAdam Elkassas, Arjun Raj Jain
Wharton Cypher Accelerator · software consulting background
Company size 1–10Realistic ML research tasks with reward functions for autonomous research agents.
1 listed itemJennifer Zhou, Ning Cao
Founding team from Anthropic, Stripe, Datology
Company size 11–50Long-horizon engineering and research tasks with verifiers; creator of FrontierSWE.
2 listed itemsCalvin Chen, Justus Mattern, Navid Pour
Research/engineering team from Cursor, Prime Intellect RL and Jane Street
Company size 11–50Design/preference datasets, rubrics and evaluation environments — the taste layer for AI.
1 listed itemThais Castello Branco
Founder previously led growth at Exa
Company size 11–50Custom multimodal training datasets with rubrics, verifier tasks and expert QA, sourced from a global creator network.
1 listed itemMikayel Khachatryan, Ashot Mnatsakanyan, Vladimir Khoetsyan, Hovhanness Kuloghlyan
Company size 51–200RL environments, evals and data for frontier AI labs. Public detail is limited; confirm scope on inquiry.
1 listed itemTeam not disclosed
Company size Not disclosedSuppliers that build or supply RL environments and tasks. Public benchmarks are separate from commercial offerings. Confirm scope, prices and sample access with each supplier.