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Feedzai is a leading AI-powered financial crime risk management platform that covers the full spectrum of fraud prevention and anti-money laundering (AML) compliance, from account opening to transaction monitoring. Using sophisticated behavioral biometrics and analytics, Feedzai builds trusted digital identities and continuously profiles normal customer behavior to identify and flag abnormal or fraudulent activities in real time. The platform processes over 70 billion events annually, securing more than $8 trillion in payments worldwide while protecting over one billion consumers. It supports a wide range of financial institutions including retail banks, commercial banks, payment service providers, merchant acquirers, and core banking providers, as well as government agencies. Feedzai’s AI-driven approach delivers higher fraud detection rates—up to 62% more—while reducing false positives by 73%, improving operational efficiency significantly. The platform’s risk scoring, watchlist screening, and orchestration tools enable organizations to adapt rapidly to evolving threats and complex regulatory environments. Feedzai seamlessly integrates with existing banking and payment infrastructures to provide scalable and compliant solutions. Customers benefit from faster model deployment times, often 25% quicker than previous systems, ensuring timely response to emerging fraud patterns. The company also offers expert briefings and insights to help clients stay ahead of financial crime trends. Feedzai is widely recognized as a leader in transaction fraud prevention and AML, driving innovation and trust in the financial industry globally.
What is DataVisor?
Elevate your fraud detection strategies and minimize financial losses by implementing an all-encompassing AI-powered solution that seamlessly combines diverse rules and multiple machine learning approaches to enhance detection effectiveness without adding complications. Leverage automated investigation tools equipped with sophisticated analytics and visual insights to enable prompt decision-making and swift responses. Effortlessly maintain transparency and meet compliance standards with convenient one-click reporting functionalities. Protect your business's growth trajectory and the introduction of new offerings by utilizing a flexible and open platform that supports expansion across various business units and diverse applications. This robust suite of solutions, crafted with a cloud-first mentality, is designed to manage large volumes of digital data in real time, thereby improving detection accuracy and enabling rapid responses to emerging fraud threats within a cohesive, multi-tenant enterprise setting. Furthermore, the platform's inherent flexibility guarantees it can adapt to evolving market trends, equipping businesses with essential tools to remain competitive and proactive in the face of potential challenges. By investing in this innovative solution, organizations can foster resilience and ensure sustainable growth in an ever-changing landscape.
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Feedzai
Date Founded
2011
Company Location
United States
Company Website
www.feedzai.com
Company Facts
Organization Name
DataVisor
Date Founded
2013
Company Location
United States
Company Website
www.datavisor.com
Categories and Features
AML
Not specified
Check Fraud
Not specified
Fraud Detection
Not specified
RegTech
Not specified
Risk Management
Dashboard
Internal Controls Management
Risk Assessment
Categories and Features
AML
Not specified
Check Fraud
Not specified
eCommerce Fraud Protection
Not specified
Financial Risk Management
Not specified
Fraud Detection
Not specified
KYC
Not specified
RegTech
Not specified