HYPERFOUNDRY
LIVE

Serial Number

99773911

Owner

PlusAI, Inc.

Attorney

RYAN S. HILBERT

Filing Date

Apr 20, 2026

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HYPERFOUNDRY Trademark

Serial Number: 99773911

HYPERFOUNDRY is a trademark filed by PlusAI, Inc. on April 20, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

PlusAI, Inc.

Santa Clara, CA 95054

Entity Type: 03

Trademark Details

Filing Date

April 20, 2026

Registration Date

Not Registered

Goods & Services

Advanced product research in the field of artificial intelligence; Design and development of computer hardware and software for autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Research and development into autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Consulting and advisory services in the fields of engineering and technology; Installation, maintenance and repair of computer software and computer hardware; Providing technology information in the fields of artificial intelligence, software, computer hardware, electronics, autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Software design and development; Technology consultation and research in the field of artificial intelligence; Technical consulting in the fields of artificial intelligence software and hardware customization; Testing and product quality evaluation of software and computer hardware of others

Software for operating, navigating, steering, calibrating, and managing autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Software using artificial intelligence (AI), machine learning, and deep learning for operating, navigating, steering, calibrating, and managing autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Software for machine learning, deep learning, data processing and contextual prediction, personalization, and predictive analytics in the fields of autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Software for designing and deploying artificial intelligence (AI), machine learning, and deep learning in connection with autonomous vehicles, systems, devices, machines, robotics, and industrial equipment; Computer hardware

Filing History

APPLICATION FILING RECEIPT MAILED
Apr 20, 2026 MAFR
NEW APPLICATION ENTERED
Apr 20, 2026 NWAP