SGS Trademark
Serial Number: 90536656 • Registration: 7202484
Trademark Classes
Owner Contact Info
12708 RIATA VISTA CIRCLE, SUITE B110
AUSTIN, TX 78727
Entity Type: 03
Legal Representation
Correspondence Address
Emily Poole Pirkey Barber PLLC
1801 East 6th Street, Suite 300
Austin, TX 78702
UNITED STATES
Trademark Details
Filing Date
February 19, 2021
Registration Date
October 24, 2023
Published for Opposition
August 3, 2021
Goods & Services
Downloadable and recorded computer software for generating and building artificial intelligence solutions, namely, data cleansing in the nature of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated, automated data filtering, automated evaluating and selecting features, model building, and visualization and reporting of model execution results, all in the field of artificial intelligence; Downloadable and recorded computer software for deep learning in the field of artificial intelligence; Downloadable and recorded computer software for machine learning tool, namely, an algorithm or API in the field of artificial intelligence; Downloadable and recorded computer software for creating and optimizing artificial neural networks; Downloadable and recorded computer software for employing genetic algorithms and deep learning techniques in the field of artificial intelligence; Downloadable and recorded computer software for neuroevolution; Downloadable and recorded computer software for cognitive computing analytics; Downloadable and recorded computer software for safety, security, reliability, and optimization of Information Technology, Operational Technology, and the Industrial Internet of Things using artificial intelligence of cyber-physical systems; Downloadable and recorded computer software for natural language processing; Downloadable and recorded computer software for natural language processing using artificial intelligence; Artificial intelligence downloadable and recorded computer software that utilizes algorithms and deep learning techniques that create a separate executable software for an end-user
