What it sells
Simulation environments to train & evaluate long-horizon AI agents
Business model breakdown
Buyer: who owns the budget?
UnverifiedResearch/data teams at frontier model labs.
Trigger: what makes them buy now?
UnverifiedNeed realistic environments and verifiers to train and evaluate long-horizon autonomous agents.
Workflow: what inputs become what output?
Build simulation environments with tasks and verifiers where agents practice; publishes benchmarks (e.g. Horizon-SWE for software engineering workflows).
Economics: what it saves and how it charges
UnverifiedData-lab services selling environments/data to model labs; contract terms not public.
Distribution: how it reaches customers
Direct relationships with model labs; Get in touch.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2026 | — | 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.