Serial Number
98910422
Owner
Qeexo, Co.Attorney
Nicholas MihalicFirst Use Date
Mar 17, 2025
Filing Date
Dec 18, 2024
EDGERX Trademark
Serial Number: 98910422 • Registration: 8370495
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Nicholas Mihalic Xsensus LLP
8521 Leesburg Pike, Suite 310
Vienna, VA 22182
United States
Trademark Details
Filing Date
December 18, 2024
Registration Date
July 28, 2026
First Use Anywhere
March 17, 2025
First Use in Commerce
March 17, 2025
Published for Opposition
July 15, 2025
Goods & Services
Electric or electronic sensors, accelerometers, gyro sensors, angular velocity sensors, temperature sensors, pressure sensors, microphones, humidity sensors, and downloadable computer software, used in combination with artificial intelligence for use in predictive analytics, machine learning and automated model building in the field of equipment and system performance monitoring, namely, predictive maintenance, preventative maintenance, failure and misuse maintenance, process condition and energy consumption analysis and reports related thereto, servicing of equipment and machinery, and monitoring and inspecting of equipment and machinery to identify impending failures and suboptimal performance conditions
Providing temporary use of non-downloadable computer software and computer software as a service (SAAS) services, both using artificial intelligence for use in predictive analytics, machine learning and automated model building, which operates in combination with electric or electronic sensors, accelerometers, gyro sensors, angular velocity sensors, temperature sensors, pressure sensors, microphones, and humidity sensors in the field of equipment and system performance monitoring, namely, for predictive maintenance, preventative maintenance, failure and misuse maintenance, process condition and energy consumption analysis and reports related thereto, servicing of equipment and machinery, and monitoring and inspecting of equipment and machinery to identify impending failures and suboptimal performance conditions