卖什么
AI Document Fraud Detection for Banks, Credit Unions & Lenders
商业模式拆解
买家：谁掌握预算？
Head of fraud / risk / account protection at the lender (testimonials from Sr. Manager Account Protection, Head of Fraud, Director Fraud Management).
触发点：什么让他们现在购买？
AI-generated fake documents (site claims 1 in 16 documents show fraud signs, AI fraud up 5x) flowing into underwriting and account opening.
工作流：什么输入变成什么输出？
Ingest bank statements, pay stubs, IDs via API or web app, detect tampering and AI-generated fakes, score risk, add credit insights and decisioning, route to analysts.
经济账：省了什么，怎么收费？
Volume-based SaaS; claims $80M fraud losses prevented at BCU, 90% fewer manual reviews at BHG, 30 minutes shorter application processing at Ramp.
渠道：怎么接触到客户？
Demo-led enterprise sales with a free pilot on the customer data; integrations and partners.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2018 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.