TUSIMPLE

Serial Number 98844700
686

Registration Progress

Application Filed
Nov 8, 2024
Under Examination
Approved for Publication
Jun 10, 2025
Published for Opposition
Jun 10, 2025
Registered

Trademark Image

TUSIMPLE

Basic Information

Serial Number
98844700
Filing Date
November 8, 2024
Published for Opposition
June 10, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
686
Status Date
Jun 10, 2025
Application
Pending
Classes
009 012 042

Rights Holder

TuSimple, Inc.

03
Address
9191 Towne Centre Dr., Suite 150
San Diego, CA 92122

Ownership History

TuSimple, Inc.

Original Applicant
03
San Diego, CA

TuSimple, Inc.

Owner at Publication
03
San Diego, CA

Legal Representation

Attorney
Grace Han Stanton

USPTO Deadlines

No Upcoming Deadlines

No upcoming deadlines found for this trademark.

Application History

7 events
Date Code Type Description Documents
Jun 10, 2025 NPUB E OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED Loading...
Jun 10, 2025 PUBO A PUBLISHED FOR OPPOSITION Loading...
Jun 4, 2025 NONP E NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED Loading...
May 7, 2025 CNSA P APPROVED FOR PUB - PRINCIPAL REGISTER Loading...
May 7, 2025 DOCK D ASSIGNED TO EXAMINER Loading...
Apr 26, 2025 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED Loading...
Nov 8, 2024 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 009
Downloadable computer software, downloadable computer software applications and downloadable computer operating system software for operating and training artificial intelligence or deep learning applications for use in image analysis, autonomous vehicle monitoring and control, driver-assisted vehicle monitoring and control, human-machine interfaces for vehicles, vehicle subsystem monitoring and control, object detection, lane detection, semantic segmentation for vehicle control, multi-object tracking, decision-making for vehicle control, navigation and mapping generation, facial analysis, and image recognition; recorded computer software and hardware for operating and training artificial intelligence or deep learning applications for use in image analysis, autonomous vehicle monitoring and control, driver-assisted vehicle monitoring and control, human-machine interfaces for vehicles, vehicle subsystem monitoring and control, object detection, lane detection, semantic segmentation for vehicle control, multi-object tracking, decision-making for vehicle control, navigation and mapping generation, facial analysis, and image recognition
Class 012
Autonomous land vehicles, self-driving land vehicles, driverless land vehicles, driver-assisted land vehicles with all of the aforesaid vehicles featuring systems and devices for controlling their autonomous driving features and subsystems
Class 042
Engineering and scientific research and development services in the field of vehicle automation, monitoring, and control systems, and products using those systems, which are used to control and monitor autonomous, self-driving, driverless, and driver-assisted vehicles; development, installation, and maintenance of computer software for computer systems for the monitoring and control of autonomous, self-driving, driverless, and driver-assisted vehicles and consultation related thereto; software as a service (SaaS) featuring software for developing and supporting vehicle automation, vehicle monitoring, and vehicle control systems, and cartography services

Additional Information

Pseudo Mark
TU SIMPLE; TOO SIMPLE

Classification

International Classes
009 012 042