Case Study

Problem Statement

Scienaptic aimed to unleash the new wealth of non-traditional credit data, such as telecom bills and social media interaction, across AI neural networks to provide a more three-dimensional picture of an individual's credit profile. For a small team, solving a problem of such scale was a highly complex task. It needed a solution to enable seamless, real-time collaboration across the globe between New York headquarters and data engineers in Bengaluru, India, as well as close communication with clients primarily in the US market.

Solution Deployed

Scienaptic evaluated 45 million loan applications, boosted loan approvals by up to 40% with up to 25% credit loss reduction, and cut sensitive data leaks by a quarter with Google Workspace solutions.

Impact

• Secures sensitive data with up to 50% increase in data loss prevention alerts and up to 25% reduction in leaks
• Enables System and Organization Control reports that validate platform's internal security controls to build client trust
• Frees up funds for platform development with $50,000 per year savings in collaboration tool costs