Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
ArcGIS
Capgemini Intelligent Automation Platform
Cognizant
Elasticsearch
Finastra Essence
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft 365
Integrations
ArcGIS
Capgemini Intelligent Automation Platform
Cognizant
Elasticsearch
Finastra Essence
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft 365
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