Feedzai

The platform uses AI‑native models to analyze transaction data in real time, identifying patterns that indicate fraud, money‑laundering, and other financial crime. It aggregates signals from multiple channels and applies machine‑learning classifiers to generate decisions that can block or flag suspicious activity while minimizing false positives. The system also includes tools for AML workflow automation, allowing analysts to investigate alerts, manage cases, and report compliance metrics.

Target users are banks, fintech companies, and other financial institutions that need to protect large volumes of payments and meet regulatory requirements. By processing billions of events annually, the solution aims to reduce fraud losses, improve detection rates, and accelerate model deployment for new threat vectors.

What distinguishes the product is its emphasis on a unified “RiskOps” approach that combines global intelligence from a network of customers, continuous model updates driven by research, and integration of human insights with automated scoring. The platform reports measurable outcomes such as higher fraud detection, fewer false positives, and faster rollout of detection models.