GleanMark

AIZIP Trademark

AIZIP is a USPTO trademark filed by Aizip, Inc.. Status: Registered.

Trademark Facts

MarkAIZIP
Serial Number97077650
Registration Number7250126
StatusRegistered
Filing Date2021-10-15
Registration Date2023-12-19
Mark TypeCombined
Nice Classes009 (Electronics & Software)
OwnerAizip, Inc.
Attorney of RecordEnshan Hong
Prosecution Events25
Latest EventR.PR on 2023-12-19

Goods & Services

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

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