About Us


Kneron, a leading provider of edge AI solutions, was founded in 2015 at San Diego, US. It is dedicated to design and development of integrated software and hardware edge AI solutions. Barely two years old, Kneron already has partners and customers around the world, and has provided customized solutions for home appliances, surveillance systems, and smartphones to several international companies.

Kneron announced the completion of series A financing at over ten million US dollars on November, 2017. Alibaba Entrepreneurs Fund and CDIB Capital Group are the lead investors, and Himax Technologies, Inc., Qualcomm, Thundersoft, Sequoia Capital (its sub funds: Cloudatlas), and CY ZONE are co-investors. Kneron are cooperating with its strategic partners to promote the edge AI technologies and speed up the popularity of AI applications.


Albert Liu, Kneron’s founder and CEO. After graduating from the Taiwan National Cheng Kung University, he got the scholarships from Raytheon and the University of California to join the UC Berkeley/UCLA/UCSD research programs, and then got his PhD in Electrical Engineering from the University of California Los Angeles (UCLA). He has worked in R&D and management positions in Qualcomm, Samsung Electronics R&D centre, MStar and Wireless Information.

Albert has been invited to give lectures of computer vision technology and artificial intelligence at the University of California, as well as to be a technical reviewer for many internationally renowned academic journals. In addition, Albert participated in leading technology development in Intelligence Advanced Research Projects Activity (IARPA), Bell Labs, and NASA, and owned more than 30 international patents in the areas of artificial intelligence, computer vision and image processing. He has published more than 40 papers in major international journals.


Kneron’s core team members are from the world’s top universities, including UCLA, MIT, Cornell University, Tsinghua University, Purdue University, and National Taiwan University. Most of the staff are experts in in the fields of artificial intelligence, computer vision, and image processing, and some of them are from prestigious technology companies, such as Google, Microsoft, Bell Labs, IBM, and Intel.