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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Feedzai offers a comprehensive AI-driven platform designed to combat financial crime across its entire spectrum—from new account fraud and transaction monitoring to anti-money laundering (AML) compliance. Leveraging advanced behavioral analytics, Feedzai profiles normal customer activity to swiftly detect suspicious or fraudulent behavior. The platform supports real-time risk scoring and fraud prevention across various payment methods and geographic regions. Feedzai is trusted by retail and commercial banks, payment service providers, merchant acquirers, core banking providers, and government agencies worldwide. Its unified approach reduces fraud losses, optimizes operational workflows, and enables secure transactions. Feedzai’s solutions are fully compliant with regulations and integrate easily into existing systems. The platform has demonstrated significant improvements in fraud detection rates, reduction of false positives, and faster model deployment compared to legacy systems. By securing $8 trillion in payments annually, Feedzai is a leader in financial crime prevention and customer trust.

Description

Tookitaki Anti-Money-Laundering Solutions: Adding power to your Compliance Lens Reduces false alarms by at least half for transaction monitoring programs. Reduces false alarms by at least 60% in screening programs. Reduces risk by increasing detection of true suspicious cases (SAR/STR), by 5%. Alerts are prioritized and handled more efficiently. Continuous automatic learning ensures high detection coverage in the face of growing data and changing regulations. Complex machine learning models and their outcomes are explained in an easy-to understand manner. Integration to existing and future up/downstream systems of the FI is easy with built-in connectors. Transaction Monitoring: We provide secondary scoring for the transaction monitoring process. Our semi-supervised approach is based on our proprietary semi-supervised method. It combines multi-dimensional unsupervised methods, network analysis, and supervised learning.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CatalystPay
Ekata
Synctera

Integrations

CatalystPay
Ekata
Synctera

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Feedzai

Founded

2011

Country

United States

Website

www.feedzai.com

Vendor Details

Company Name

Tookitaki

Founded

2014

Country

Singapore

Website

www.tookitaki.com

Product Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

Product Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

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