卖什么
Infrastructure for AI labs to focus on research.
商业模式拆解
买家：谁掌握预算？
未核实Research/infrastructure leads at AI labs; ML/AI leaders at enterprises.
触发点：什么让他们现在购买？
Fragmented compute and failures eat research time; enterprises want a model that knows their private data.
工作流：什么输入变成什么输出？
Enterprise: scope the model and data, embed post-training researchers, train and iterate on Model Foundry, deploy to your cloud/ours/on-device, then hand off or keep updated (about 6 weeks to production).
经济账：省了什么，怎么收费？
Outcome-based: Model Foundry savings-share pricing, paying a share of what is saved on the compute bill; claims 3x more runs on the same budget and a specialist model at about a fifth of frontier cost.
渠道：怎么接触到客户？
Sales-led: Plan a training run / Talk to an engineer.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2025 秋季 | — | 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.