TORQUEFIELD
LIVE

Serial Number

99865871

Owner

TorqueAGI, Inc.

Attorney

NICHOLAS D. WELLS

First Use Date

Mar 15, 2026

Filing Date

Jun 4, 2026

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TORQUEFIELD Trademark

Serial Number: 99865871

TORQUEFIELD is a trademark filed by TorqueAGI, Inc. on June 4, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

TorqueAGI, Inc. (3 trademarks)

555 Twin Dolphin Dr, Suite 165
Redwood City, DE 94065

Entity Type: 03

Trademark Details

Filing Date

June 4, 2026

Registration Date

Not Registered

First Use Anywhere

March 15, 2026

First Use in Commerce

March 15, 2026

Goods & Services

Downloadable computer software using artificial intelligence (AI) for understanding, modeling, and reasoning about physical environments for robotic and autonomous systems; Downloadable computer software for interpreting sensor data, including images, video, lidar, radar, GPS, and spatial information; Downloadable computer software for environmental understanding, scene analysis, physics-based reasoning, object interaction prediction, and autonomous decision-making in indoor and outdoor environments; Downloadable computer software for downloadable machine learning models and foundation models for robotic perception, navigation, situational awareness, and operation in real-world environments; Recorded computer software for understanding, modeling, and reasoning about physical environments for robotic and autonomous systems; Recorded computer software for interpreting sensor data, including images, video, lidar, radar, GPS, and spatial information

Software as a service (SAAS) services featuring software using artificial intelligence (AI) for understanding, modeling, and reasoning about physical environments; Providing temporary use of on-line non-downloadable software for robotic perception, environmental understanding, scene analysis, navigation, and physics-based reasoning; Providing temporary use of on-line non-downloadable software for machine learning models for interpreting sensor data and enabling autonomous operation in dynamic real-world environments; Providing on-line non-downloadable software using artificial intelligence (AI) for models for robotics, automation, logistics, transportation, construction, agriculture, industrial operations, and other physical AI applications

Filing History

APPLICATION FILING RECEIPT MAILED
Jun 4, 2026 MAFR
NEW APPLICATION ENTERED
Jun 4, 2026 NWAP