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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
GRID stands as the most extensive global database for risk assessments, encompassing adverse media, sanctions, watchlists, and politically exposed persons (PEPs). Through meticulous curation, risk data is organized into thorough profiles for both individuals and organizations, allowing users to access all pertinent, risk-related information in structured and detailed reports. Utilize GRID for efficient screening and continuous risk assessment. Its robust data and categorization system enable users to sift through information by risk type, stage, and age, tailored to their specific risk profiles. This results in greater accuracy, a reduction in false positives, and enhanced operational efficiency. For those bound by the EU's anti-money laundering regulations requiring the identification of PEPs, Moody's offers a valuable solution. Our Nordic PEPs database delivers up-to-date and comprehensive insights on domestic Nordic PEPs along with their immediate connections, ensuring that you stay informed and compliant in your risk management practices. By leveraging these resources, organizations can effectively navigate the complexities of risk assessment in a dynamic landscape.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Moody's Corporation
Country
United States
Website
www.moodys.com/web/en/us/kyc/products/grid.html
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