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Description
Arva AI is a sophisticated enterprise-level platform aimed at automating compliance processes related to financial crime for banks, fintech companies, and other regulated entities by substituting manual reviews with advanced AI-driven agents. This innovative solution creates and implements a virtual "AI workforce" capable of executing various tasks, including anti-money laundering assessments, Know Your Customer (KYC) procedures, Know Your Business evaluations, and transaction monitoring, which have typically required extensive human analyst teams. By evaluating vast amounts of alerts and compliance checks, Arva AI analyzes transaction patterns, customer data, documentation, and external information sources like websites and media, thereby enhancing each case with contextual insights to boost precision and minimize false positives. Furthermore, the platform's agents are designed to autonomously investigate and address alerts based on established workflows, all while ensuring complete audit trails and adhering to regulatory standards, enabling financial institutions to fulfill rigorous governance obligations effectively. As a result, Arva AI not only streamlines compliance processes but also empowers organizations to respond more swiftly and accurately to potential financial crime risks.
Description
Utilizing graph analytics throughout the customer lifecycle can help uncover hidden risks and unveil unexpected opportunities. Conventional Master Data Management (MDM) solutions struggle to accommodate the vast amounts of distributed and diverse data generated from various applications and external sources. The traditional methods of probabilistic matching in MDM are ineffective when dealing with siloed data sources, leading to missed connections and a lack of context, ultimately resulting in poor decision-making and uncapitalized business value. An inadequate MDM solution can have widespread repercussions, negatively impacting both the customer experience and operational efficiency. When there's no immediate access to comprehensive payment patterns, trends, and risks, your team’s ability to make informed decisions swiftly is compromised, compliance expenses increase, and expanding coverage becomes a challenge. If your data remains unintegrated, it creates fragmented customer experiences across different channels, business sectors, and regions. Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management. This lack of a unified data strategy not only hampers customer satisfaction but also stifles business growth opportunities.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce
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
Arva
Founded
2024
Country
United States
Website
arva.ai/
Vendor Details
Company Name
Quantexa
Founded
2016
Country
United Kingdom
Website
www.quantexa.com
Product 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
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
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization