卖什么
工业AI。
商业模式拆解
买家：谁掌握预算？
未核实Engineering/R&D, production and aftersales leaders at OEMs and suppliers (automotive, defense and aerospace, industrial machinery, railway).
触发点：什么让他们现在购买？
Complex products run on engineering data that does not connect (PLM, ALM, ERP, CAD), so errors are found late; company pitches shifting error detection left.
工作流：什么输入变成什么输出？
Connect sources such as Teamcenter, DOORS, Jira, SAP and CAD into one product ontology, consumed by apps (Product Explorer, Requirements Manager, Error Inspector, Ticket Analyzer) and AI agents like Claude Code.
经济账：省了什么，怎么收费？
Enterprise deployments per customer (19 engagements listed, live and pilot); claimed impact: EUR 20M+ per year for a European automotive group, errors caught at architecture review cost ~1,000x less than in the field.
渠道：怎么接触到客户？
Enterprise 'Get started' / contact-led.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| 2026-04-29 | — | €25M | — | news.google.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.