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About

NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well.

About

Verisoul uses multiple fingerprints to automatically match accounts. We give you match probabilities, instead of device IDs, to reduce false positives and engineering work. Stop multi-accounting and fraud with device fingerprinting. Prevent the same users from creating multiple accounts. See when an account is being used by different devices. Identify anomalies or spoofed device fingerprints. We use multiple layers of device, browse, and TCP features that let us match users across browsers, something no one else can do. We create multiple fingerprints and match users probabilistically, instead of using a single binary device ID. This means more accurate links without the false positives. Spoof- and lie-detection technology validates that the data coming from the device is ground truth, so we can catch anti-detect browsers that trick other providers. Invisibly collects device, browser, and network data without latency.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies and enterprises looking for a rule-based and machine-learning based name matching and detection solution

Audience

Businesses interested in a solution to automate fake account detection operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$99 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NetOwl
Founded: 1996
United States
www.netowl.com/name-matching-software

Company Information

Verisoul
United States
www.verisoul.ai/products/device-fingerprinting

Alternatives

Alternatives

Lead to Account Matcher

Lead to Account Matcher

Eustace Consulting
BasaltLabs

BasaltLabs

Digital Basalt Service LTD

Categories

Categories

Integrations

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

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
Claim NetOwl NameMatcher and update features and information
Claim NetOwl NameMatcher and update features and information
Claim Verisoul Device Fingerprinting and update features and information
Claim Verisoul Device Fingerprinting and update features and information