ML aid for due diligence

  • 1 Team Size
  • 2019 Founding Year
  • Zürich Location
  • Idea, brainstorming Project Status
  • Financial Services, LegalTech Markets

We want to develop a SaaS solution for VC/private equity firms which could greatly reduce the resources needed for due diligence.

We believe that due diligence process which has to be done before investing into a company can be made a lot faster and cheaper than it is now. At the core of due diligence is painful process of fact checking within hundreds of pages of documents. Simplest cases could be successfully done by NLP algortihms, but are still done by very expensive lawyers.

Reducing the time spent on due diligence is beneficial for both investors and startups, since investors could spend more resources looking for talent and startups would not stay in limbo for weeks waiting for closure of the deal.