Overview

Ravelin is an AI-native fraud prevention platform designed to help online businesses detect, prevent, and manage payment fraud, reduce chargebacks, and improve acceptance rates while preserving customer experience. It combines machine learning, customizable rules, consortium data, and graph network link analysis to identify fraud patterns in real time and deliver actionable risk decisions. The solution adapts to each client’s business context and risk profile, providing deep analytics, intuitive dashboards, and seamless integration into existing payment flows.

Features and Capabilities

• Core Technology: Machine learning models trained on client-specific data enable tailored fraud prediction. Graph network link analysis uncovers hidden relationships and complex fraud rings, while a customizable rules engine allows rapid enforcement of business logic and risk policies.
• **Fraud Detection & Prevention: **Real-time transaction risk scoring blocks fraudulent payments before completion. The platform reduces chargebacks and false positives while maximizing approval rates for legitimate customers. Continuous model monitoring and retraining ensure adaptability to evolving fraud tactics.
• **Dashboard & Analytics: **Comprehensive dashboards provide clear visibility into fraud performance and trends. Rich customer profiles support manual reviews and in-depth investigations, while advanced query tools enable detailed analysis and anomaly detection.
• **Rules & Controls: **A flexible rules engine with sandbox and impact estimation supports safe testing before deployment. Teams can fine-tune rules and automate blocking or review actions based on predefined business policies.