LAB4U
LIVE

Serial Number

99654772

Owner

Lab4U, Inc.

Attorney

Marcela Moore

First Use Date

Jan 1, 2015

Filing Date

Feb 16, 2026

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LAB4U Trademark

Serial Number: 99654772

LAB4U is a trademark filed by Lab4U, Inc. on February 16, 2026. The trademark is classified under Class 9 (Computers & Electronics). The application is currently pending registration.

Owner Contact Info

Lab4U, Inc. (2 trademarks)

San Francisco, CA 94107

Entity Type: 03

Trademark Details

Filing Date

February 16, 2026

Registration Date

Not Registered

First Use Anywhere

January 1, 2015

First Use in Commerce

April 30, 2015

Goods & Services

Downloadable application programming interface (API) software; Downloadable educational software featuring instruction in conducting, simulating, recording, analyzing, and visualizing scientific experiments and laboratory activities on a remote, hybrid, and in-person basis.; Downloadable educational software featuring instruction in classroom management, student engagement, and educational performance tracking.; Downloadable educational software featuring instruction in augmented reality, virtual reality, and simulation-based scientific learning.; Downloadable educational software featuring instruction in science education and laboratory experimentation incorporating machine learning and artificial intelligence for personalized education, adaptive learning, and automated feedback.; Downloadable educational software featuring instruction in science, technology, engineering, and mathematics.; Downloadable educational mobile applications featuring instruction in science, technology, engineering, and mathematics.; Downloadable educational software featuring instruction in scientific data collection, measurement, experimentation, and analysis.; Downloadable mobile applications for classroom management, student engagement, and educational performance tracking.; Downloadable mobile applications for augmented reality, virtual reality, and simulation-based scientific learning.; Downloadable mobile applications for conducting, simulating, recording, analyzing, and visualizing scientific experiments and laboratory activities on a remote, hybrid, and in-person basis.; Downloadable mobile applications for science education and laboratory experimentation incorporating machine learning and artificial intelligence for personalized education, adaptive learning, and automated feedback.; Downloadable mobile applications for scientific data collection, measurement, experimentation, and analysis.

Filing History

APPLICATION FILING RECEIPT MAILED
Feb 16, 2026 MAFR
NEW APPLICATION ENTERED
Feb 16, 2026 NWAP