Case Study

Implementation Of AI/ML Scoring System in FinTech

Our client is a financial services company specializing in providing financing to small businesses across the US. With an average decision time of 2 business days, they operate in the high-risk lending segment. The client approached us to improve the underwriting process by integrating machine learning (ML) tools.

Sped up the software development lifecycle processes by up to 40%.

MEF.DEV provides developers with accelerated development, hosting, and the ability to manage applications based on the composition of IoC (Inversion of Controls) containers through a flexible development process based on the principles of continuous integration. The platform supports domain-driven design and business analysis with database and model-first code generation capability and unified development process. It provides an open standards-based approach to build software.