卖什么
Open-source agents to build predictive ML models from a prompt
商业模式拆解
买家：谁掌握预算？
未核实Product, data and engineering leaders wanting AI in their product (inferred).
触发点：什么让他们现在购买？
Most AI projects never reach production.
工作流：什么输入变成什么输出？
Embedded team (applied ML engineer, software engineer, engagement lead) builds on the Plexe backend for models and agents, deploys in customer VPC and hands over; customer owns IP.
经济账：省了什么，怎么收费？
Services-led applied AI lab plus platform; results claimed +7% conversion, -60% infrastructure cost, +20% enrollment, +28% repeat purchase.
渠道：怎么接触到客户？
Sales-led: "Talk to us", "Speak to technical staff", cal.com booking.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2025 春季 | — | 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.