SOVRMIND
LIVE

Serial Number

99626480

Owner

David Gene Comer

Filing Date

Jan 31, 2026

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SOVRMIND Trademark

Serial Number: 99626480

SOVRMIND is a trademark filed by David Gene Comer on January 31, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

David Gene Comer

2995 Trumpeter Dr. NW
Puposky, MN 56667

Entity Type: 01

Denise Ann Comer

1510 BRYDEN AVENUE
LEWISTON, ID 83501

Entity Type: 01

Trademark Details

Filing Date

January 31, 2026

Registration Date

Not Registered

Goods & Services

Downloadable computer software for analyzing and filtering online digital content using artificial intelligence to detect and block harmful or inappropriate material.; Downloadable computer software using artificial intelligence (AI) for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.; Downloadable computer software and firmware for filtering and analyzing online digital content to detect and block harmful or inappropriate material.; Downloadable software, capable of functioning offline, for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.; Downloadable computer programs using artificial intelligence (AI) for for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.; Downloadable computer software for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material, and instructional user guides sold as a unit

Software as a service (SAAS) services featuring software using machine learning for content filtering, namely, using artificial intelligence to filter, monitor, and analyze online digital content to identify and block harmful, malicious, or inappropriate material.; Providing online non-downloadable software using machine learning for analyzing online digital content and user interaction data to identify, classify, and filter harmful, malicious, or inappropriate material.; Providing temporary use of online non-downloadable computer software applications for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.; Providing temporary use of online non-downloadable computer software for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.; Providing temporary use of on-line non-downloadable cloud computing software using artificial intelligence (AI) for for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.; Providing temporary use of on-line non-downloadable cloud computing software for analyzing, monitoring, and filtering online digital content to identify and block harmful, malicious, or inappropriate material.

Filing History

APPROVED FOR PUB - PRINCIPAL REGISTER
Jun 1, 2026 CNSA
ASSIGNED TO EXAMINER
May 29, 2026 DOCK
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
May 26, 2026 NWOS
APPLICATION FILING RECEIPT MAILED
Jan 31, 2026 MAFR
NEW APPLICATION ENTERED
Jan 31, 2026 NWAP