TRUEVOICE LIVE Trademark

Trademark Overview

On Tuesday, April 29, 2025, a trademark application was filed for TRUEVOICE LIVE with the United States Patent and Trademark Office. The USPTO has given the TRUEVOICE LIVE trademark a serial number of 99161928. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Tuesday, April 29, 2025. This trademark is owned by Edgevana Inc.. The TRUEVOICE LIVE trademark is filed in the Computer & Software Services & Scientific Services category with the following description:

Real-time voice translation technology that preserves emotional authenticity through distributed edge computing infrastructure.
truevoice live

General Information

Serial Number99161928
Word MarkTRUEVOICE LIVE
Filing DateTuesday, April 29, 2025
Status630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER
Status DateTuesday, April 29, 2025
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 ServicesReal-time voice translation technology that preserves emotional authenticity through distributed edge computing infrastructure.

Classification Information

International Class042 - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software.
US Class Codes100, 101
Class Status Code6 - Active
Class Status DateTuesday, April 29, 2025
Primary Code042
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History

Party NameEdgevana Inc.
Party Type10 - Original Applicant
Legal Entity Type03 - Corporation
AddressVienna, VA 22181

Trademark Events

Event DateEvent Description
Tuesday, April 29, 2025NEW APPLICATION ENTERED
Tuesday, April 29, 2025APPLICATION FILING RECEIPT MAILED

Related Keywords

live truevoice distributed through edge computing infrastructure authenticity emotional voice time translation