Request and Guidelines Provided

• Client: Private Equity Secondaries firm 

• Create a fully automated application that assists in the preparation and tracking of LP notices for a secondaries fund

• Implement SSO login across the whole application to restrict/grant access to certain end users based on their department or designation

Final Deliverable and Value-add

• Created an interactable UI application on Retool, a low-code service, for scalability and ease of use

• Developed an automated pipeline for generating the PDF associated with the notice in the required format using latex markup language

• Integrated a top top-to-down review system, giving the ability to reviewers to approve/reject the prepared notices, along with their comments

• Automation led to a 90% reduction in time to create and send notices to investors

Methodology

• Gathered historical and point-in-time data from multiple in-house cashflow models, accounting systems, and public databases into a central GCP repository

• Custom APIs are built and hosted in a protected server environment to allow seamless access

• Based on the input fund selected in the app, these APIs are leveraged to fetch entries from the central repository and to calculate the total distribution/capital call amount available, along with its LP split

• Tools/Technology used: Python, Fast API, BigQuery, Google Cloud Server, Retool UI

Snapshots of the Output