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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 Fincom.Co?

Fincom has introduced innovative "phonetic fingerprint" technology that enables quick identification of entities based on their name, pronunciation, or "name-sound," all stemming from a unified mathematical model. This advanced capability for "accurate name matching" not only leads to substantial reductions in operational costs and lessens the likelihood of incurring fines, but it also enhances credibility and protects your business's reputation. Utilizing automated real-time systems that leverage AI-ML layers, this technology employs over 48 intricate mathematical algorithms to provide precise name matching across 38 languages, effectively addressing various transliterations and spelling variations. The product suite encompasses solutions for accurate name matching, seamless onboarding and ongoing monitoring automation, transaction screening, and adverse media analysis, including level 1 and 2 filtering alongside optimization engines. Furthermore, the technology verifies beneficiaries in payment transactions against actual bank account holders to prevent CEO and invoice fraud. By integrating customer data into a cohesive view, it enables the development of comprehensive customer risk profiles, improves insight into potential exposure, and aids in forecasting risks, ultimately resulting in better-informed decision-making. In this way, Fincom's technology not only streamlines processes but also enhances overall operational efficiency.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Fincom.Co

Date Founded

2016

Company Location

Israel

Company Website

fincom.co

Categories and Features

Data Quality

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

Categories and 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

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