CS5934 - NavagantAI

Abstract

NavagantAI is a prospecting platform built for our client Navagant, a Richmond-based mergers and acquisitions advisory company. The core goal of this platform is to assist associates at Navagant in finding new clients through the use of historical outreach data and a machine learning model. NavagantAI was architected to ensure robustness, performance, and security, with a user-first design. The core feature of our application is company search, which finds companies based on various parameters (sector, keywords, number of employees, revenue, etc.) and ranks the results using a similarity score assigned by our model. Our search system is considerably faster than competing systems, retrieving results in just a few minutes—compared to the hours taken by similar commercially available systems. Users can view search results in tabular form from a web browser or download the results for use outside of the application. Searches and results are also saved, allowing users to revisit previous search queries and results. The speed and intuitive nature of NavagantAI position it as a powerful tool for prospecting, with the potential to redefine how Navagant finds new clients.