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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 The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and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aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management.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.

What is Arva?

Arva AI represents a cutting-edge enterprise platform designed to automate compliance tasks associated with financial crime for banks, fintech firms, and other regulated organizations by replacing time-consuming manual reviews with advanced AI-driven solutions. This pioneering approach establishes a virtual "AI workforce" that can carry out a range of functions, such as anti-money laundering evaluations, Know Your Customer (KYC) assessments, Know Your Business reviews, and transaction monitoring, which have traditionally relied on large teams of human analysts. By sifting through extensive volumes of alerts and compliance evaluations, Arva AI scrutinizes transaction behaviors, customer profiles, documentation, and external sources like websites and news articles, thereby enriching each case with contextual insights that enhance accuracy and reduce false positives. Moreover, the platform's agents possess the capability to independently investigate and resolve alerts according to defined workflows while maintaining comprehensive audit trails and complying with regulatory requirements, thus enabling financial institutions to meet strict governance demands effectively. Consequently, Arva AI not only optimizes compliance procedures but also enables organizations to react more promptly and accurately to potential risks associated with financial crime, ultimately leading to a more secure financial environment. This enhancement of operational efficiency represents a significant evolution in how compliance is managed in the financial sector.

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

Quantexa

Date Founded

2016

Company Location

United Kingdom

Company Website

www.quantexa.com

Company Facts

Organization Name

Arva

Date Founded

2024

Company Location

United States

Company Website

arva.ai/

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

Categories and Features

AML

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

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

KYC

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