Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LeakCheck Reviews & Ratings
    2 Ratings
    Company Website
  • DNSimple Reviews & Ratings
    75 Ratings
    Company Website
  • Visual Visitor Reviews & Ratings
    251 Ratings
    Company Website
  • one.com Reviews & Ratings
    32 Ratings
    Company Website
  • Curtain MonGuard Screen Watermark Reviews & Ratings
    7 Ratings
    Company Website
  • Square POS Reviews & Ratings
    765,336 Ratings
    Company Website
  • SurePayroll Reviews & Ratings
    845 Ratings
    Company Website
  • AgeChecker.Net Reviews & Ratings
    3 Ratings
    Company Website
  • PackageX Workflows Reviews & Ratings
    187 Ratings
    Company Website
  • RallyFuel Reviews & Ratings
    1 Rating
    Company Website

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 Kalinda?

Legislative frameworks establish the parameters for how information can be shared and the circumstances that warrant such exchanges. To improve the effectiveness of information sharing among various agencies during the investigation of specific cases, techniques for data matching and discovery are utilized. Central to the Kalinda system is a sophisticated machine-learning algorithm that is adept at linking individual records from different agencies by scrutinizing personal details like name and date of birth, in addition to the features of related individuals. Comprehensive investigations often require exploring relationships between individuals or locations, particularly when faced with incomplete datasets. Kalinda is adept at processing inquiries that involve partial matches concerning people, places, and their connections. Furthermore, it boasts advanced algorithms that facilitate the identification of records that are similar to those already matched through probabilistic record matching techniques. This functionality greatly expands the range of possible leads during investigations, solidifying Kalinda's status as an essential resource for law enforcement and investigative bodies. Consequently, as technology evolves, the potential applications of systems like Kalinda will likely continue to grow, further transforming the landscape of investigative work.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/name-matching-software

Company Facts

Organization Name

Kalinda

Company Location

Australia

Company Website

www.factil.io/products/kalinda/

Categories and Features

Data Quality

Not specified

Categories and Features

Data Matching

Not specified

Government

Not specified

Popular Alternatives

Popular Alternatives

Lead to Account Matcher Reviews & Ratings

Lead to Account Matcher

Eustace Consulting
matchit Reviews & Ratings

matchit

360Science