What it sells
Building multi-agent simulations for model evals and training.
Business model breakdown
Buyer: who owns the budget?
Frontier AI labs and AI researchers (evaluation and training teams).
Trigger: what makes them buy now?
UnverifiedNeed to evaluate and train agents on multi-agent social tasks (negotiation, alliances, betrayal) that single-agent benchmarks do not cover.
Workflow: what inputs become what output?
Place multiple AI agents in a shared simulated environment (e.g. Diplomacy, Poker, Codenames, Risk, plus private coding/cyber/computer-use tasks), score them with Elo and behavior metrics, and use results to train better agents.
Economics: what it saves and how it charges
UnverifiedAppears to be custom evaluation/training environment work for labs plus a public leaderboard; no revenue figures published.
Distribution: how it reaches customers
UnverifiedDirect outreach to labs ('Get in touch'), public arena leaderboard and research blog as lead generation.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.