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Description
Identity Verification refers to the process of confirming the legitimacy of an individual's or business's information, and it is increasingly being carried out by private firms through Electronic Identity Verification (eIDV) systems. This solution serves as a risk management tool that enables the immediate validation of identities, whether for Know Your Customer (KYC) or Know Your Business (KYB) purposes. Industries such as banking, financial services, payment processing, e-wallets, and e-commerce frequently utilize this technology. By integrating our API with your systems, you can gain access to a vast database containing information on more than 160 million individuals and over 12 million businesses. The identification process involves checking the provided data and generating one of two immediate outcomes: a match, indicating that the identity has been verified, or a no match, suggesting that the information could not be confirmed. To perform a KYC or KYB check, users need to input verification details, which may include the company name, individual's name, ID number, and address, tailored to the specific regulations of their country. This seamless verification process not only enhances security but also significantly streamlines customer onboarding and compliance measures.
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
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
Salesforce
SolrCommerce
Tableau
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
Salesforce
SolrCommerce
Tableau
Pricing Details
€500
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
Cedar Rose
Founded
1997
Country
Cyprus
Website
www.cedar-rose.com/solutions/eidv
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/name-matching-software
Product Features
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management