quantifind.com
An artificial intelligence-based risk screening and investigation platform, utilized for anti-money laundering efforts and compliance with customer due diligence requirements.
Introduction
AI-powered risk screening and investigations platform for AML-KYC compliance.
What is Quantifind?
Quantifind’s risk screening and investigation platform makes full use of artificial intelligence and external data to streamline the anti-money laundering (AML) and customer due diligence (KYC) processes end-to-end. It provides advanced automated risk assessment capabilities for each individual client and at every point of contact, enabling access to all relevant data at any time and from anywhere. The Graphyte™ platform helps banks optimize the effectiveness of their risk screening and investigation efforts, thereby enhancing productivity and allowing them to focus their attention on the highest-risk cases.
How to use Quantifind?
Quantifind’s Graphyte platform can be utilized via web applications, APIs, or batch processing methods to conduct risk screenings, investigate potential financial crimes, and generate reports. It is integrated with existing case management systems.
The core functions of Quantifind
Risk assessment based on artificial intelligence
Comprehensive data coverage from thousands of different sources
Seamless integration with the case management system
Dynamic risk types
Patent data management ensures speed and scalability.
Comprehensive data coverage from thousands of different sources
Seamless integration with the case management system
Dynamic risk types
Patent data management ensures speed and scalability.
Visits：8
Updated：2026-11-07
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Which membership services on my phone are automatically deducting fees from my account? Is the password for my main email address the same as that used on other websites? In the rental contract, when exactly will the deposit be refunded? Each of these issues, taken separately, is not particularly complicated. However, without anyone reminding you, it’s very easy to make mistakes. Today, I’d like to share a GitHub repository with 60.5k stars…
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