Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The QuantaVerse Financial Crime Investigation Platform leverages RPA, AI, and machine learning to streamline the process of data collection, detect financial crimes, and document results. Our innovative solutions have been shown to enhance the efficiency and effectiveness of AML case adjudication and reporting. With thorough data collection and reliable analytics, we provide the consistent outcomes and standardized reporting necessary for both your organization and regulatory bodies. By reducing false positives by up to 40% and decreasing investigation time by 70% through automated data gathering and analysis, your investigation team can operate with significantly greater efficiency. Our platform fosters uniformity within your AML/BSA program by producing timely, transparent, and thoroughly explainable results that meet regulatory expectations. Additionally, uncover the risks your existing systems may overlook, ultimately driving out criminal activities and terrorist groups from your organization. The future of financial crime investigation lies in embracing technology to improve security and compliance effectively.
Description
For more than ten years, Quantifind’s data analytics platform has empowered governments and Fortune 50 companies to extract valuable insights from a wide variety of public data sources. The platform’s effectiveness lies in its integration of scientific principles with design aesthetics, marrying machine learning advancements with user-friendly, comprehensive web applications and APIs. Currently, Graphyte is instrumental in addressing financial crime risks, boasting accuracy and features that enhance the efficiency of Anti-Money Laundering (AML) investigations by 40% or more. It incorporates diverse data points, including corporate information, law enforcement records, regulatory details, registrations, leaks, Politically Exposed Persons (PEPs), sanctions, enforcement actions, restricted lists, and social media. The technology developed by Quantifind is utilized throughout the investigative workflow, optimizing each phase of the process for better efficiency. Additionally, a robust web application designed with a consumer-grade user experience allows investigators to quickly locate the information they need, significantly streamlining the investigative efforts. This innovative approach not only saves time but also enhances the overall quality of investigations.
API Access
Has API
No
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
QuantaVerse
Founded
2014
Country
United States
Website
quantaverse.net
Vendor Details
Company Name
Quantifind
Founded
2009
Country
United States
Website
www.quantifind.com
Product Features
AML
Behavioral Analytics
No
Case Management
No
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
No
SARs
No
Transaction Monitoring
No
Watch List
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Investigation Management
Contact Management
No
Data Management
No
Incident Management
No
Reporting & Statistics
No
Subject Profiles
No