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What is TrademarkNow?

TrademarkNow is a groundbreaking platform that utilizes artificial intelligence to streamline trademark searches and safeguard brands, efficiently overseeing the entire trademark lifecycle from initial clearance to ongoing monitoring and evaluation of portfolios. The platform boasts a variety of tools, including NameGenerator for creating distinctive brand names, ExaMatch for thorough screenings across over 190 trademark registries equipped with advanced similarity and phonetic matching features, NameCheck for rapid assessment of potential trademarks, and LogoCheck, which harnesses deep-learning image recognition to evaluate graphical marks. Furthermore, its Portfolio Analyzer tool enables users to examine their trademark portfolios, identify coverage deficiencies, and assess the competitive landscape. Users benefit from access to an extensive repository of over 1,100 continuously updated databases related to global trademarks, company names, domains, and designs, providing a holistic view of potential conflicts and brand risks. By combining hybrid intelligence that merges AI algorithms with insights from expert analysts, the platform delivers results in seconds, thereby greatly reducing the time needed to launch products into the market. This advanced methodology not only enhances brand protection but also equips companies to better navigate the intricate landscape of trademark regulations. As businesses increasingly rely on such innovative solutions, they can achieve a greater competitive edge in the marketplace.

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.

Media

Media

Integrations Supported

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

Integrations Supported

ArcGIS
Corsearch
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
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

Corsearch

Company Location

United Kingdom

Company Website

corsearch.com/trademarknow/

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/name-matching-software

Categories and Features

Categories and Features

Data Quality

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

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