ML-Powered Credit Risk Scoring for Kashf Foundation to Reduce Operational Workload by Half

A leading microfinance institution partnered with us to modernize its credit risk assessment process using machine learning. We delivered a scalable, automated scoring system that replaced manual reviews with real-time, data-driven risk insights, establishing a reliable foundation for faster, more accurate lending decisions. The organization now operates a high-throughput credit evaluation engine that reduces operational workload while supporting sustainable growth at scale. Download the case study for more details.