Serial Number
79411766
Owner
Hangzhou Lanxia Intelligent Technology Co., Ltd.Attorney
Jonathan M. RixenFiling Date
Sep 23, 2024
FATE TELL Trademark
Serial Number: 79411766 • Registration: 8072741
Trademark Classes
Owner Contact Info
Room 1316-1, Junshang Building, No. 229 Anye Road,
Entity Type: 98
Legal Representation
Correspondence Address
Jonathan M. Rixen Dennemeyer & Associates, LLC
230 W. Monroe St.
Suite 2100
Chicago, IL 60606
United States
Trademark Details
Filing Date
September 23, 2024
Registration Date
December 23, 2025
Published for Opposition
November 4, 2025
Goods & Services
Downloadable computer chatbot software for simulating conversations; humanoid robots having communication and learning functions for assisting and entertaining people; computer software platforms, recorded or downloadable, for natural language processing, generation, understanding and analysis; computer software platforms, recorded or downloadable, for simulating conversations; computer software platforms, recorded or downloadable, for processing text; computer software applications, downloadable, for natural language processing, generation, understanding and analysis; computer software applications, downloadable, for simulating conversations; computer software applications, downloadable, for processing text; downloadable software applications for mobile phones, for natural language processing, generation, understanding and analysis; downloadable software applications for mobile phones, for simulating conversations; downloadable software applications for mobile phones, for processing text; downloadable application software for mobile phones for natural language processing, generation, understanding and analysis; downloadable application software for mobile phones for simulating conversations; downloadable application software for mobile phones for processing text; data processing apparatus; user-programmable humanoid robots, not configured; downloadable computer software for collecting, analyzing and organizing data in the field of deep learning