AIZIP
Mark Identification

AIZIP

Serial Number

97077650

Filing Date

Oct 15, 2021

Registration Date

Dec 19, 2023

Trademark by

AIZIP INC.

Active Trademark

Classification Information

Downloadable software for developing, deploying, and optimizing computational models utilizing machine learning, deep learning, and artificial intelligence technologies; Downloadable software for use with Internet of Things (IoT) applications; Downloadable software for image processing, audio processing, and computer vision; Downloadable software for classification, face identification, and object detection; Downloadable software for speech processing, natural language processing, keyword spotting, voice recognition, speaker identification, speaker verification, and voice command processing; Downloadable software for controlling electronic devices using voice commands, user presence, and user interactions; Downloadable software for time-series-based datasets processing; Downloadable software for use in medical and healthcare fields; Downloadable software for processing and analyzing electrocardiography (ECG) data and electroencephalography (EEG) data; Downloadable software for inertial measurement; Downloadable software in the nature of a mobile application for developing, deploying, and optimizing computational models utilizing machine learning, deep learning, and artificial intelligence technologies; Downloadable software in the nature of a mobile application for use with Internet of Things (IoT) applications; Downloadable software in the nature of a mobile application for image processing, audio processing, and computer vision; Downloadable software in the nature of a mobile application for classification, face identification, and object detection; Downloadable software in the nature of a mobile application for speech processing, natural language processing, keyword spotting, voice recognition, speaker identification, speaker verification, and voice command processing; Downloadable software in the nature of a mobile application for controlling electronic devices using voice commands, user presence, and user interactions; Downloadable software in the nature of a mobile application for time-series-based datasets processing; Downloadable software in the nature of a mobile application for use in medical and healthcare fields; Downloadable software in the nature of a mobile application for processing and analyzing electrocardiography (ECG) data and electroencephalography (EEG) data; Downloadable software in the nature of a mobile application for inertial measurement; Recorded software for developing, deploying, and optimizing computational models utilizing machine learning, deep learning, and artificial intelligence technologies; Recorded software for use with Internet of Things (IoT) applications; Recorded software for image processing, audio processing, and computer vision; Recorded software for classification, face identification, and object detection; Recorded software for speech processing, natural language processing, keyword spotting, voice recognition, speaker identification, speaker verification, and voice command processing; Recorded software for controlling electronic devices using voice commands, user presence, and user interactions; Recorded software for time-series-based datasets processing; Recorded software for use in medical and healthcare fields; Recorded software for processing and analyzing electrocardiography (ECG) data and electroencephalography (EEG) data; Recorded software for inertial measurement

Electrical and Scientific Apparatus