ModelFlow is a fraud detection and prevention platform designed for merchant payment processors. It is built on the mSynapse algorithm stack and targets transaction-level fraud detection with a focus on reducing chargebacks and improving transaction acceptance rates. The platform supports container-based deployment, enabling scalability with response times of 1 millisecond. It can be deployed on-premises, in the cloud, or in a hybrid cloud environment, and is designed to coexist with existing legacy fraud prevention measures. ModelFlow includes an integrated case manager that provides transparent, explainable model predictions for each transaction decision. This assists fraud analysts and risk experts in reviewing approved or declined transaction flows. The platform supports PSD2 compliance by enabling SCA (Strong Customer Authentication) exemptions, reducing the need for two-factor authentication (2FA) based on its fraud rate performance. ModelFlow is designed for deployment across multiple regions, devices, and customer segments.