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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

KYCsphere is an innovative compliance platform utilizing AI to streamline the KYC and AML processes throughout the entire compliance lifecycle, from the initial onboarding of customers to necessary regulatory reporting, all hosted within a cloud-based SaaS framework on Microsoft Azure. This comprehensive solution amalgamates various functions such as customer onboarding, identity verification, sanctions and PEP screening, transaction monitoring, risk evaluation, alert management, investigative case handling, and regulatory reporting, including SAR and CTR filings, into a singular system. By leveraging machine learning, the platform enhances risk scoring, utilizes fuzzy-matching techniques for name screening, and implements real-time anomaly detection to significantly minimize false positives. Compliance teams can effortlessly set up workflows and customize risk parameters using no-code tools, eliminating the need for IT support. The solution adheres to the regulatory standards set by FinCEN, OFAC, FATF, and EU AML Directives, ensuring compliance across all jurisdictions. There is no requirement for hardware investment, allowing for rapid deployment within days, automatic scaling, and comprehensive audit trails throughout every region. By integrating these diverse functionalities, KYCsphere not only simplifies compliance but also improves operational efficiency for organizations.

Description

NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

ArcGIS No 
Elasticsearch No 
Google Maps No 
IBM Cloud No 
Kibana No 
MarkLogic No 
Palantir Apollo No 
SolrCommerce No 
Tableau No 

Integrations

ArcGIS Yes 
Elasticsearch Yes 
Google Maps Yes 
IBM Cloud Yes 
Kibana Yes 
MarkLogic Yes 
Palantir Apollo Yes 
SolrCommerce Yes 
Tableau Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Divas Software

Founded

2000

Country

India

Website

www.divassoftware.com

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/name-matching-software

Product Features

AML

Behavioral Analytics No 
Case Management No 
Compliance Reporting No 
Identity Verification No 
Investigation Management No 
PEP Screening No 
Risk Assessment No 
SARs No 
Transaction Monitoring No 
Watch List No 

KYC

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

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