Recently, China’s artificial intelligence national team has officially completed the B round of RMB 500 million financing from the technology. In addition, the Guangzhou Municipal Government’s support for the 2 billion government funds of Yun Cong Technology has won a total of 2.5 billion yuan of development funds.
This round of financing was led by Shunwei Capital, Yuanhe Origin, Puhua Capital, Yuexiu Production Investment, Zhangjiang Xinghe, and Qianhai Xingwang. At the same time, Jiadu Technology, Ren Yi’s founding of Angel Capital and other rounds of angels and A-round investors continue to vote with this round. Huaxing Alpha is the exclusive financial advisor to the financing.
After this round of financing, Yun from Science and Technology will promote the “cross strategy†with the National Development and Reform Commission artificial intelligence platform as the core. In addition to continuing to expand its leading edge in key industries such as banking and machine security, it will continue to occupy the leading position in other market segments and incubate AI companies through the National Artificial Intelligence Platform to provide technical empowerment and enhance the potential of people, organizations and society. .
According to official data, the Chinese Academy of Sciences' artificial intelligence company Yun Cong Technology was established in April 2015. It is a high-tech enterprise incubating in the Chongqing Research Institute of the Chinese Academy of Sciences, focusing on computer vision and artificial intelligence. The core technology is derived from the academician of the Fourth Academy, the father of computer vision, Professor Thomas S. Huang, and the two frontier laboratories of UIUC and Silicon Valley, the two joint laboratories of the Chinese Academy of Sciences and Shanghai Jiaotong University, and Shanghai, Guangzhou, Chongqing, and Chengdu. A three-level R&D structure consisting of four R&D centers. The company has won the first place in the banking and public security industry POC test more than 63 times, laying the first position in the face recognition industry.
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