NetOwl NameMatcherNetOwl
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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
TINCorrect automates IRS TIN matching for 1099 compliance, helping teams verify name and TIN combinations before filing, reduce B-Notices, and clean up vendor data with less manual work. Users can upload names and TIN or EIN combinations through a spreadsheet, single entry, or API, with support for up to 100,000 records per batch. TINCorrect validates each name/TIN pair directly against the IRS TIN Matching Program and returns real-time results in seconds or minutes instead of requiring overnight bulk processing. It accepts standard CSV, Excel, and TSV formats, handles IRS formatting behind the scenes, and automatically deduplicates records before processing so teams do not waste capacity on redundant lookups. Beyond raw IRS result codes, TINCorrect provides detailed explanations and recommended next steps for each record, helping users understand whether a mismatch is caused by a missing TIN, invalid TIN, name mismatch, wrong TIN type, duplicate request, or pending EIN.
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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
Accounting and vendor compliance teams that need fast IRS TIN matching, bulk validation, API automation, and audit-ready 1099 support
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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
No information available.
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 InformationTinCorrect
United States
tincorrect.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
ArcGIS
Elasticsearch
Google Maps
Google Sheets
IBM Cloud
Kibana
MarkLogic
Microsoft Excel
Palantir Apollo
SolrCommerce
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Integrations
ArcGIS
Elasticsearch
Google Maps
Google Sheets
IBM Cloud
Kibana
MarkLogic
Microsoft Excel
Palantir Apollo
SolrCommerce
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