卖什么
RL environments for robotics companies
商业模式拆解
买家：谁掌握预算？
未核实Head of robotics/ML at robotics companies.
触发点：什么让他们现在购买？
Hardware evaluation does not scale, is not reproducible, and RL is impossible on physical robots; in-house simulators are costly and sim-to-real gap takes days to tune.
工作流：什么输入变成什么输出？
Build environment from real robot data; benchmark policies in learned simulator instead of hardware rollouts; run RL there; deploy to robots.
经济账：省了什么，怎么收费？
Case study claims RL trained entirely in simulation gave +30% successful completions per robot-hour and +7% absolute task success on the customer robots.
渠道：怎么接触到客户？
Sales-led: Schedule a meeting; whitepaper and blog as content.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2026 冬季 | — | Y Combinator | ycombinator.com |
档案汇总自公开报道和公司官网。商业模式部分是 MaxBC 对这些材料的解读，不是已确认的事实；未知之处留空，不作猜测。 更新于 2026-10-12.