PEEL VOICE Trademark

Trademark Overview

On Wednesday, December 4, 2024, a trademark application was filed for PEEL VOICE with the United States Patent and Trademark Office. The USPTO has given the PEEL VOICE trademark a serial number of 98884542. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Wednesday, December 4, 2024. This trademark is owned by Squeeze Media Group, LLC. The PEEL VOICE trademark is filed in the Advertising, Business and Retail Services category with the following description:

Business data analysis services in the field of aggregating customer sentiment using large language models to evaluate performance of a salesforce
peel voice

General Information

Serial Number98884542
Word MarkPEEL VOICE
Filing DateWednesday, December 4, 2024
Status630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER
Status DateWednesday, December 4, 2024
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form
Published for Opposition DateNOT AVAILABLE

Trademark Statements

Goods and ServicesBusiness data analysis services in the field of aggregating customer sentiment using large language models to evaluate performance of a salesforce
NOT AVAILABLE"PEEL"

Classification Information

International Class035 - Advertising; business management; business administration; office functions.
US Class Codes100, 101, 102
Class Status Code6 - Active
Class Status DateWednesday, December 4, 2024
Primary Code035
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History

Party NameSqueeze Media Group, LLC
Party Type10 - Original Applicant
Legal Entity Type16 - Limited Liability Company
AddressOrem, UT 84097

Trademark Events

Event DateEvent Description
Wednesday, December 4, 2024NEW APPLICATION ENTERED
Wednesday, December 4, 2024NEW APPLICATION OFFICE SUPPLIED DATA ENTERED

Related Keywords

voice peel language large models evaluate salesforce performance using sentiment analysis data