A robust, comprehensive database is key to the success of any screening program. SAMS™ is powered by Solytics’ leading, state-of-the-art database covering all major global sanctions and PEP lists, as well as coverage of millions of webpages for adverse media updates.
Solytics’ Global Watchlists are a comprehensive collection of caution lists from all major sanctioning bodies, law enforcement agencies and financial regulators worldwide. We continually update, add regulatory and enhanced due diligence data and lists, offering you the most up-to-date and accurate information to help protect your business.
We collect, maintain and update a record or the record of individuals elected or appointed to a PEP position or their immediate relatives or close associates. The research and identification of such individuals are based on the definition provided by the FATF and expanded definitions offered by the Wolfsberg Group, USA PATRIOT Act, EU Money Laundering Directive and the World Bank, as well as country-specific PEP definitions. The list also includes board members, chairmen, directors and senior executives of state-owned enterprises.
Our database currently pulls together negative news from ~10mn web pages from 20,000+ sources for 50+ languages. The crawlers have the capability to extract information from JSON, PDF, CSV formats.
SAMS™ proprietary search algorithm has been customized for various entity types – Individuals, Entities, Vessels, Aircrafts, and includes ID-based match for standard attributes like:
Passport, National ID, Driving License, SSN
CIN, ISIN, PAN/TIN
MMSI
Serial Number
Our ML/AI algorithm crawls through billions of articles on the web and use a variety of techniques to capture the right data points and insights.
Uses latest AI model trained under 2 million entries for adverse media check related to AML/Sanctions/Criminal activities
Gives output regarding tone of the news article – positive, negative, neutral
Our credibility score reflect the degree of authenticity of a particular news article
Name-matching is carried out for non-standard/open fields and can be customized as per client requirements Some sample attributes used are below:
Uses latest AI model trained under 2 million entries for adverse media check related to AML/Sanctions/Criminal activities
Birth (Individuals), Establishment (Entities), Manufacturing (Vessels/Aircrafts)
Including Street, City, State & Country
Solytics understands that the requirements, current infrastructure, and size vary from organization to organization. We have four different SAMS™ versions and flexibility to provide SAMS™ as SaaS or deploy on the cloud or on-premises, to ensure we are able to fulfill the unique objectives of every client
Useful for organizations with mid-to-large size compliance teams. The solution has a different set-up for managers & analysts for optimal controls with options for both initial screening and ongoing monitoring of customers.
It provides a robust multi-level Maker-Checker concept and the flexibility to customize for bank’s/clients’ private lists and other third-party data feeds.
Allow a single user to perform end-to-to end SAMS™ activities by providing options for both initial screening and ongoing monitoring of customers. Provides the ability to download bulk data with slice-and-dice capabilities for incisive analytics. Comes with the flexibility to customize for bank’s/clients’ private lists and other third-party data feeds.
Robust API supporting different programming languages and customizable schemas, which can be easily integrated with the client systems. Flexibility to customize for hits and non-hits with additional data points, if required.
Most updated and accurate sanctions and PEP lists, and relevant adverse media coverage are provided regularly through offline data dumps.
Pay per user/usage with monthly and yearly payment options with discounts for a yearly or the yearly Subscription and higher volumes
Enterprise Licensing + Annual Maintenance Charges
Complete process owned by Solytics and client pays based on the volume of work.
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