Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Fincom has developed cutting-edge "phonetic fingerprint" technology that allows for the prompt identification of any entity through their name, pronunciation, or "name-sound," all derived from a singular mathematical model. This enhanced "accurate name matching" capability not only significantly reduces operational expenses and mitigates the risk of incurring unnecessary fines but also bolsters trustworthiness and helps maintain your business’s reputation. Employing automated real-time systems powered by AI-ML layers, this technology utilizes over 48 sophisticated mathematical algorithms to ensure precise name matching across 38 languages, accommodating various transliterations and spelling differences. The suite of products offered includes solutions for accurate name matching, seamless onboarding and continuous monitoring automation, transaction screening, and adverse media analysis, along with level 1 and 2 filtering and optimization engines. Additionally, the technology verifies beneficiaries in payments against bank account holders to combat CEO and invoice fraud. By consolidating customer information into a unified view, it allows for the construction of detailed customer risk profiles, enhances understanding of exposure, and facilitates the forecasting of potential risks, ultimately leading to more informed decision-making.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ArcGIS
Capgemini Intelligent Automation Platform
Cognizant
Elasticsearch
Finastra Essence
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft 365
Palantir Apollo
SolrCommerce
Tableau

Integrations

ArcGIS
Capgemini Intelligent Automation Platform
Cognizant
Elasticsearch
Finastra Essence
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft 365
Palantir Apollo
SolrCommerce
Tableau

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

Fincom.Co

Founded

2016

Country

Israel

Website

fincom.co

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/name-matching-software

Product Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

GDPR Compliance

Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Alternatives

Alternatives

Lead to Account Matcher Reviews

Lead to Account Matcher

Eustace Consulting
NameScan Reviews

NameScan

MemberCheck