Artificial Intelligence,

Makes Life Better

Genbyte is committed to make machines and everything smarter. The artificial intelligence platform we develop can continuously learn and adapt to your behavior and the surrounding environment. Soon, whether it's a smartphone, a car or a home appliance, can provide us a highly personalized user experience in a more natural way.


Are you ready for it?

Device that reads your mind

The next generation of products will have higher reliability, more computing power, and interactivity. These enhancements will apply to all the features and applications of artificial intelligence. End-products that integrate artificial intelligence will transform from passive tools to people's partners, helping us make decisions and even make decisions for us – such appliances will soon become as popular as today's smartphones.

AI Team

Computer Vision

Use cameras and computers instead of human eyes to identify, measure, and analyze targets



Knowledge mining, classification and analysis by capturing feature vectors and signal processing in speech information

Natural Language Processing

Big Data

Effective classification and application of natural language using statistical probability and computer science

Use big data to provide business consulting solutions by extracting valid information and building mathematical models

Computer Vision

Audio Technology

Audio Signal Analysis 

Real-world analog signals are collected and further processed, including Fourier transform, MFCC feature extraction, noise reduction, and normalization to extract digital signals into feature vectors for audio recognition.

Audio Digital Recognition

The eigenvectors of the extracted audio are classified and identified, and mathematical models based on digital signals are established, including hidden Markov models, convolutional neural networks, similarities, and the like.

Final Application

Combined with other AI algorithm models, intelligent algorithms are finally embedded in front-end hardware applications to provide a convenient and better user experience.

Natural Language Processing

Deep Learning

After extracting the information and features in the text big data, it is applied to semantic analysis, information retrieval, and the like.


Use natural language processing to understand, retrieve, recommend, and respond to user information needs.

Big Data

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