ZUR-LIX Trademark

Trademark Overview

On Sunday, June 28, 2026, a trademark application was filed for ZUR-LIX with the United States Patent and Trademark Office. The USPTO has given the ZUR-LIX trademark a serial number of 99910366. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Sunday, June 28, 2026. The ZUR-LIX trademark is filed in the Computer & Software Services & Scientific Services category with the following description:

Software as a service (SAAS) services featuring software using artificial intelligence (AI) for optimizing prompts and reducing token consumption in language models
zur-lix

General Information

Serial Number99910366
Word MarkZUR-LIX
Filing DateSunday, June 28, 2026
Status630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER
Status DateSunday, June 28, 2026
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

Pseudo MarkZUR LIX
Goods and ServicesSoftware as a service (SAAS) services featuring software using artificial intelligence (AI) for optimizing prompts and reducing token consumption in language models

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 DateSunday, June 28, 2026
Primary Code042
First Use Anywhere DateSunday, June 21, 2026
First Use In Commerce DateSunday, June 21, 2026

Trademark Owner History

Party NameNOT AVAILABLE
Party Type10 - Original Applicant
Legal Entity Type01 - Individual
AddressGlendale, NY 11385
US

Trademark Events

Event DateEvent Description
Sunday, June 28, 2026NEW APPLICATION ENTERED
Sunday, June 28, 2026APPLICATION FILING RECEIPT MAILED

Related Keywords

software reducing prompts token consumption models language optimizing intelligence saas