Case Study: epeer achieves fast, AI-powered social loan scoring with Algolytics

epeer - Customer Case Study

epeer, a FinTech social lending platform, wanted to build an innovative credit scoring process that would go beyond traditional BIK data by using geolocation, mobile app behavior, and social media signals while keeping the user experience simple and applying strict anti-fraud controls. To achieve this, epeer worked with Algolytics to develop a real-time scoring approach for loan decisions.

Algolytics implemented a solution combining a machine learning platform, AI-based data standardization and geocoding, and artificial neural networks to predict credit risk instantly. The result was a high-tech scoring engine that returns responses in 0.1 seconds and lets users complete the social loan process in just 20 seconds and 3 clicks, while supporting high repayment rates and reduced fraud risk.

epeer

Maciej Jarząb

Chief Executive Officer