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What is NetOwl NameMatcher?

NetOwl NameMatcher, celebrated for its superior performance in the MITRE Multicultural Name Matching Challenge, offers exceptional accuracy, rapid processing, and scalability in its name matching solutions. Utilizing a cutting-edge machine learning framework, NetOwl adeptly addresses the complex challenges associated with fuzzy name matching. Traditional techniques like Soundex, edit distance, and rule-based systems frequently struggle with precision, leading to an abundance of false positives, and recall issues that result in false negatives, particularly when faced with the varied fuzzy name matching scenarios mentioned earlier. In contrast, NetOwl adopts a data-driven, machine learning-based probabilistic approach to overcome these name matching challenges effectively. It autonomously develops advanced, probabilistic name matching rules from vast real-world datasets containing multi-ethnic name variants. Additionally, NetOwl implements specialized matching models designed for different entity types, including individuals, organizations, and geographical locations. To enhance its functionality, NetOwl incorporates automatic detection of name ethnicity, which significantly boosts its adaptability to the complexities inherent in multicultural name matching. This holistic strategy not only elevates accuracy but also ensures dependable performance across a wide array of applications. Consequently, organizations relying on precise name matching can greatly benefit from the innovative solutions provided by NetOwl.

What is Cedar Rose eIDV?

Identity Verification is the method of validating the authenticity of an individual’s or a business’s details, and it is progressively managed by private companies through Electronic Identity Verification (eIDV) technologies. This approach acts as a risk mitigation instrument that allows for the swift confirmation of identities, applicable to both Know Your Customer (KYC) and Know Your Business (KYB) needs. Sectors like banking, financial services, payment processing, digital wallets, and e-commerce commonly adopt this innovative technology. By connecting our API to your existing systems, you can tap into a comprehensive database that includes information on over 160 million individuals and more than 12 million businesses. The verification process entails reviewing the supplied information, resulting in one of two outcomes: a match, confirming the identity, or no match, indicating that the information could not be verified. To conduct a KYC or KYB assessment, users must submit specific verification information, which may involve details such as the name of the company, the individual's name, identification number, and address, all adapted to the particular regulations of their jurisdiction. This efficient verification procedure not only bolsters security but also greatly simplifies the processes of customer onboarding and meeting compliance requirements, ultimately fostering a more secure and user-friendly environment. The growing reliance on these systems underscores the importance of maintaining trust in digital transactions and interactions.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€500
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/name-matching-software

Company Facts

Organization Name

Cedar Rose

Date Founded

1997

Company Location

Cyprus

Company Website

www.cedar-rose.com/solutions/eidv

Categories and Features

Data Quality

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

Categories and Features

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