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Description
Clovis has been intentionally designed to efficiently integrate with pre-existing data structures, allowing it to seamlessly interact with information from legacy systems and enhance the processing and reporting of alerts with a greater range of capabilities. Additionally, our unique AI-driven solution, ClovisQ, synthesizes various customer attributes—such as demographics, industry specifics, geographical data, and transactional history—to provide businesses with an up-to-the-minute view of data as trends and patterns develop. Our platform offers flexibility, being available for both On-Premises and Software as a Service (SaaS) deployment, enabling organizations to choose their preferred method of managing both labor and technological resources. This strategic model is poised to deliver substantial cost efficiencies for companies of all sizes while simultaneously boosting their revenue potential. By leveraging the invaluable experiences of our founders from major consumer banks, prominent data firms, and the U.S. Intelligence Community, we are pioneering a comprehensive AI-driven anti-money laundering (AML) solution that stands to transform the industry. In doing so, we aim to empower businesses to navigate complexities with ease and adapt to an ever-evolving financial landscape.
Description
SAS Financial Crimes Analytics is a cloud-based solution designed to enhance Anti-Money Laundering (AML) initiatives by leveraging artificial intelligence and machine learning to operationalize compliance efforts. This innovative platform empowers financial institutions to more effectively identify and thwart financial crimes by minimizing false positives, automating the investigative process, and enhancing overall detection capabilities. With features that simplify data exploration and visualization, users can easily import, transform, and integrate data using an intuitive drag-and-drop interface. Additionally, it streamlines the swift operationalization of analytical models through automated methods, facilitating efficient deployment in both batch and real-time scenarios. The solution seamlessly integrates with existing transaction monitoring systems, negating the necessity to overhaul current AML frameworks. Furthermore, it employs advanced analytics tools, such as network and text analytics, to provide a comprehensive understanding of risk factors, ultimately allowing institutions to adapt to the evolving landscape of financial crime threats. This holistic approach not only improves compliance but also strengthens the institution’s overall risk management strategy.
API Access
Has API
API Access
Has API
Integrations
SAS Anti-Money Laundering
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
Clovis Technologies
Founded
2018
Country
United States
Website
www.clovistechnologies.com
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/financial-crimes-analytics.html
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
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