NetOwl NameMatcherNetOwl
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Verisoul Device FingerprintingVerisoul
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Related Products
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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.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies and enterprises looking for a rule-based and machine-learning based name matching and detection solution
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Audience
Businesses interested in a solution to automate fake account detection operations
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$99 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNetOwl
Founded: 1996
United States
www.netowl.com/name-matching-software
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Company InformationVerisoul
United States
www.verisoul.ai/products/device-fingerprinting
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Categories |
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Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
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Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
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