一位 VC 投资人分享如何在投资流程中使用 AI
How I use AI in venture capital
一位投资人亲述把 AI 塞进 VC 投资全流程的做法，从筛 BP 到尽调都讲了。和泛泛的 AI 工具清单不同，他按投资流程逐环节拆。做早期投资、FA 或者要处理大量文档的人可以抄作业。
一位风险投资人撰文介绍如何把 AI 引入 VC 的投资决策流程。文章指出，传统投资流程中项目筛选、尽调和决策环节长期存在瓶颈和低效问题，有时会导致不及时或错误的投资判断。
作者按典型 VC 投资流程拆解了 AI 的具体落点：用 AI 处理项目初筛中大量 pitch deck 和数据，加速尽调阶段的信息整理与验证，辅助投资人做出更及时的数据驱动决策。文章以第一人称实操视角展开，属于经验分享而非产品评测。
对早期投资机构、FA 和需要处理大量非结构化资料的从业者有直接参考价值，核心是把 AI 嵌入既有投资工作流，而不是替代投资判断本身。
How I use AI in venture capital
As a Venture Capital (“VC”) investor, making timely and data-driven investment decisions sits at the core of what we do. Yet, we often come across common problems within our investment process. These have traditionally created bottlenecks, inefficiencies and ultimately sometimes lead us to making untimely or wrong investment decisions. A typical VC investment process The […] The post How I use AI in venture capital appeared first on e27 .
This report is categorized under AITOP's "How-to" desk, focusing on Southeast Asia and the ASEAN-6 (Singapore, Malaysia, Indonesia, Thailand, Vietnam, Philippines) digital economy. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and Southeast Asia AI venture funding, M&A, and data-centre infrastructure. Key entities and technical topics under continuous tracking include 风险投资, AI工作流, 尽调, 提示词工程.
Source attribution: curated from e27 (@WNJ Ventures - Wing Lee).
