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What is Quantifind Graphyte?

For over a decade, Quantifind's data analytics platform has enabled both government entities and Fortune 50 companies to derive significant insights from a plethora of public data sources. The platform's strength resides in its combination of scientific methodologies and appealing design, effectively blending advancements in machine learning with intuitive, all-encompassing web applications and APIs. Presently, Graphyte plays a crucial role in mitigating financial crime risks, featuring enhancements that boost the efficiency of Anti-Money Laundering (AML) investigations by 40% or more. It utilizes a variety of data points, such as corporate records, law enforcement documentation, regulatory information, registrations, leaks, Politically Exposed Persons (PEPs), sanctions, enforcement actions, restricted lists, and social media insights. The technology crafted by Quantifind is integrated throughout the investigative process, improving each step for greater productivity. Furthermore, a powerful web application, built with a user-friendly interface, enables investigators to swiftly access crucial data, thereby significantly streamlining their work. This forward-thinking methodology not only saves valuable time but also improves the overall quality of the investigative outcomes. Consequently, Quantifind continues to redefine the standards for data analytics in the realm of financial crime investigation.

What is Quantexa?

Leveraging graph analytics during the entirety of the customer journey can reveal concealed risks and highlight unforeseen opportunities. Traditional Master Data Management (MDM) systems often find it difficult to handle the extensive and varied data produced by numerous applications and external entities. The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and insufficient context, ultimately impairing decision-making and leaving business potential untapped. An ineffective MDM framework can lead to far-reaching consequences, detrimentally affecting both customer interactions and operational productivity. Without prompt access to thorough insights regarding payment behaviors, emerging trends, and potential risks, your team's capacity to make quick, informed choices is hindered, leading to increased compliance costs and challenges in broadening your reach. When data is not integrated efficiently, it fosters disjointed customer experiences across various channels, sectors, and regions. Efforts aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management. This absence of a comprehensive data strategy not only diminishes customer satisfaction but also constrains avenues for business expansion and innovation. Ultimately, a robust MDM system is essential for fostering a seamless customer experience and driving sustainable growth in today’s competitive landscape.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quantifind

Date Founded

2009

Company Location

United States

Company Website

www.quantifind.com

Company Facts

Organization Name

Quantexa

Date Founded

2016

Company Location

United Kingdom

Company Website

www.quantexa.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Investigation Management

Contact Management
Data Management
Incident Management
Reporting & Statistics
Subject Profiles

Categories and 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

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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