XLUE
LIVE

Serial Number

99762184

Owner

Xlue Inc.

Attorney

Melissa E. Scott

Filing Date

Apr 14, 2026

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XLUE Trademark

Serial Number: 99762184

XLUE is a trademark filed by Xlue Inc. on April 14, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific), Class 44 (Medical Services). The application is currently pending registration.

Owner Contact Info

Xlue Inc.

856 Canterbury Lane
Pittsburgh, PA 15232

Entity Type: 03

Trademark Details

Filing Date

April 14, 2026

Registration Date

Not Registered

Goods & Services

Downloadable computer software using artificial intelligence (AI) for data analysis in the field of healthcare and healthcare insurance; Downloadable computer software using artificial intelligence (AI) for data analytics; Downloadable computer software using artificial intelligence (AI) for analyzing medical data to detect and diagnose diseases and to improve patient outcomes, medical records and clinical information to provide healthcare clinical decision support, and medical data to support insurance decisions; Downloadable computer software using artificial intelligence (AI) for analyzing medical data to predict patient risk for developing diseases, facilitate the early detection of diseases, and improve patient outcomes

Medical services; Providing medical information, consultancy and advisory services; Medical diagnostic services; Medical screening

Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for data analytics; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for analyzing medical data to detect and diagnose diseases and to improve patient outcomes, medical records and clinical information to provide healthcare clinical decision support, and medical data to support insurance decisions; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for analyzing medical data to predict patient risk for developing diseases, facilitate the early detection of diseases, and improve patient outcomes; Design and development of computer software for machine learning for analyzing medical data to detect and diagnose diseases and to improve patient outcomes, medical records and clinical information to provide healthcare clinical decision support, and medical data to support insurance decisions

Filing History

APPLICATION FILING RECEIPT MAILED
Apr 14, 2026 MAFR
NEW APPLICATION ENTERED
Apr 14, 2026 NWAP