CEO
Feedzai
Feedzai provides an AI-native RiskOps platform that combines real‑time fraud detection, AML monitoring, and identity verification across the customer lifecycle. The cloud‑based solution scores transactions using behavioral biometrics and device intelligence, offers a unified console for alert investigation and regulator‑ready reporting, and includes self‑service tools for custom model development.
Updated 6 months ago
Funding
Raised to date
$75MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+3Funding rounds are not available yet.
Founders
Product
Problem
Financial institutions must continuously detect and prevent fraud, scams, money‑mule activity, and money‑laundering across account opening, transaction processing, and ongoing customer interactions, while keeping compliance costs low and preserving a frictionless experience for legitimate users.
Solution
Feedzai delivers an AI‑native RiskOps platform that unifies fraud detection, anti‑money‑laundering (AML), and identity verification across the entire customer lifecycle. Advanced machine‑learning models analyze behavioral biometrics, device intelligence, and transaction streams in real time to generate risk scores for each event. The platform provides a single, cloud‑based console where analysts can investigate alerts, prioritize cases, and generate regulator‑ready reports. Integrated orchestration automates account opening, KYC/CDD, watchlist screening, and SAR filing, reducing manual effort and operational overhead. Explainable AI (white‑box) delivers transparent decision logic, helping institutions meet regulatory expectations without sacrificing detection performance. Self‑service data‑science tools enable fraud teams to build, test, and deploy custom rules or models quickly as new threats emerge.
Features
- Real‑time, AI‑driven fraud scoring across all payment channels and devices
- Behavioral biometrics and device fingerprinting to profile “normal” customer behavior
- Unified RiskOps console with visual link analysis for network‑level risk insights
- Integrated AML transaction monitoring, watchlist screening, and KYC/CDD with automated SAR generation
- Explainable AI (white‑box) that produces human‑readable justification for alerts
- Self‑service data‑science studio for rapid model development, testing, and deployment
- Scalable cloud architecture with flexible APIs for seamless integration with core banking and payment systems
- Adaptive risk thresholds and rule engine that reduce false positives while maintaining high detection rates