Serial Number
97458234
Owner
METROLLA, INC.Attorney
R. Reams Goodloe, Jr.First Use Date
Feb 10, 2025
Filing Date
Jun 14, 2022
METROLLA Trademark
Serial Number: 97458234 • Registration: 7995231
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
R. Reams GOODLOE, JR. R. REAMS GOODLOE, P.S.
24722 104TH AVE SE
STE 102
KENT, WA 98030-5322
United States
Trademark Details
Filing Date
June 14, 2022
Registration Date
October 21, 2025
First Use Anywhere
February 10, 2025
First Use in Commerce
February 10, 2025
Published for Opposition
July 25, 2023
Goods & Services
Downloadable computer programs using artificial intelligence for computer vision-based automation, analytics, and measurements, using machine learning for detection, recognition, tracking of people, vehicles, bicycles, and environment, and of anomalies, in the field of smart cities, autonomous vehicles, defense, security, transportation, and manufacturing; Downloadable software for connecting, operating and managing networked fixed infrastructure, vehicles, computers, signs, and audio devices in the internet of things (IoT); Downloadable cloud-based software for connecting, operating, and managing networked fixed infrastructure, vehicles, computers, signs, and audio devices in the internet of things (IoT)
Application service provider (ASP) featuring software using artificial intelligence for computer vision based automation, analytics, and measurements, using machine learning for detection, recognition, tracking of people, vehicles, bicycles, and environment, and of anomalies, in the field of smart cities, autonomous vehicles, defense, security, transportation, and manufacturing; Providing temporary use of non-downloadable cloud-based software for connecting, operating, and managing networked fixed infrastructure, vehicles, computers, signs, and audio devices in the internet of things (IoT); Providing a website featuring non-downloadable software using artificial intelligence with computer vision-based automation, analytics, and measurements, using machine learning for detection, recognition, tracking of people, vehicles, bicycles, and environment, and of anomalies, in the field of smart cities, autonomous vehicles, defense, security, transportation, and manufacturing