What it sells
High Quality Coding & Agentic Data for AI labs
Business model breakdown
Buyer: who owns the budget?
UnverifiedData/post-training or RL environment leads at AI labs.
Trigger: what makes them buy now?
Need for realistic long-horizon agent training data with verifiable rewards across 600+ real tools and live SaaS apps.
Workflow: what inputs become what output?
Lab discusses data needs, receives tasks with environments and deterministic/rubric/LLM-judge rewards for RL and SFT.
Economics: what it saves and how it charges
UnverifiedCustom data/environment delivery; also open-source MCP infrastructure and docs.
Distribution: how it reaches customers
Contact-led sales (Discuss data buttons), open-source GitHub and docs funnel.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.