卖什么
Ultra-low latency inference cloud for real-time workloads
商业模式拆解
买家：谁掌握预算？
未核实Engineering/infrastructure leads at AI-native companies running production agents (inferred from pitch about owning agent SLAs).
触发点：什么让他们现在购买？
Latency spikes, errors, downtime and uncontrolled cost creep on shared black-box API providers as agents scale.
工作流：什么输入变成什么输出？
Replaces calling shared model APIs: deploy open-source/custom models on managed single-tenant inference clusters across clouds and 10+ regions with custom API SLAs.
经济账：省了什么，怎么收费？
Dedicated managed inference clusters sold with SLAs (claims 99.99% uptime for models, 99.999% cluster uptime); pitch is predictable costs at scale vs shared API cost creep. Exact billing model not published.
渠道：怎么接触到客户？
Sales-led: "Contact sales" and "Talk to an engineer" CTAs (cal.com booking); technical blog deploy guides and infrastructure partnerships (Neysa, Armada).
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2024 夏季 | — | 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.