Despite concerns about the accuracy and potential bias of AI, Song insists that Dili uses "first-of-its-kind" technology and is continuing to fine-tune its models to improve overall accuracy. The company also plans to offer a way for funds to create their own models trained on proprietary, offline fund data. Dili ran an initial pilot last year with 400 analysts and users across different types of funds and banks, and is now looking to expand into new applications.
Key takeaways:
- Stephanie Song, Brian Fernandez, and Anand Chaturvedi, former Coinbase employees, have launched Dili, a platform that uses AI to automate investment due diligence and portfolio management tasks for private equity and VC firms.
- Dili, a Y Combinator graduate, has raised $3.6 million in venture funding from various backers. The platform uses GenAI to automate tasks such as parsing databases of private company data and handling due diligence request lists.
- Despite AI's potential in due diligence work, concerns exist about its accuracy and potential bias. Some firms also express discomfort with running their private, sensitive data through a third-party model.
- Dili is working to improve its models to reduce inaccuracies and biases. The company also plans to offer a way for funds to create their own models trained on proprietary, offline fund data. Dili aims to become an "end-to-end" solution for investor due diligence and portfolio management.