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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

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.

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

Accounting and vendor compliance teams that need fast IRS TIN matching, bulk validation, API automation, and audit-ready 1099 support

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

No information available.
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

TinCorrect
United States
tincorrect.com

Alternatives

Alternatives

TINCheck

TINCheck

Sovos
Lead to Account Matcher

Lead to Account Matcher

Eustace Consulting

Categories

Categories

Integrations

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

Integrations

ArcGIS
Elasticsearch
Google Maps
Google Sheets
IBM Cloud
Kibana
MarkLogic
Microsoft Excel
Palantir Apollo
SolrCommerce
Tableau
Claim NetOwl NameMatcher and update features and information
Claim NetOwl NameMatcher and update features and information
Claim TinCorrect and update features and information
Claim TinCorrect and update features and information