Serial Number
50153889
Owner
BEDROCK ROBOTICS INC.Attorney
Michael J. AndriFiling Date
Oct 9, 2026
BEDROCK Trademark
Serial Number: 50153889
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 37 - Building & Construction
Building construction; repair; installation services
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Owner Contact Info
Legal Representation
Correspondence Address
Michael J. Andri Alleman Hall LLP
900 SW 5th Ave
#2300
Portland, OR 97204
United States
Trademark Details
Filing Date
October 9, 2026
Registration Date
Not Registered
Goods & Services
Providing online non-downloadable machine learning software for enabling computers to learn to perform tasks autonomously; Providing online non-downloadable software using machine learning for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Providing on-line non-downloadable software using artificial intelligence (AI) for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Software as a service (SAAS) services featuring machine learning software for enabling computers to learn to perform tasks autonomously; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Design and development of computer software for machine learning; Computer technology consultancy in the field of machine learning
Machinery retrofit and conversion services
Apparatus and instruments for controlling and monitoring unmanned autonomous land vehicles, heavy machinery, and heavy equipment incorporating navigational instruments, wireless transceiver, cameras, Lidar apparatus, and computer hardware; Conversion systems for automating land vehicles, heavy machinery, and heavy equipment for autonomous operation sold as a kit, consisting of geolocation navigation instruments, wireless transceiver, cameras, Lidar apparatus, and electronic control system; Downloadable machine learning software for enabling computers to learn to perform tasks autonomously; Downloadable computer programs using artificial intelligence (AI) for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Downloadable software for machine learning for use in robots; Downloadable software using machine learning for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Recorded computer software using artificial intelligence (AI) for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Computer hardware with preinstalled software for controlling the unmanned operation of land vehicles, heavy machinery, and heavy equipment in the performance of work tasks; Telematics apparatus, namely, wireless Internet devices which provide telematic services over a wireless communications network