Yunjin Micro, a company focusing on the research and development of embodied intelligent operating systems, recently announced the completion of a multi-million yuan angel round of financing, led by iFlytek. This marks another important investment in the field of embodied intelligence, and also reflects the market’s optimism for this technology. Yunjin Micro was established in 2021. The core team members have rich AI research and development experience and have received government financial support. Its independently developed Yunjin OS and supporting products, with its low cost and high efficiency, have been successfully implemented in the fields of energy, water affairs, transportation and other fields, and have served nearly a hundred corporate customers.
According to intelligence emerging news, Yunjinwei, a developer of embodied intelligent operating systems, recently announced the completion of a multi-million yuan angel round of financing, led by iFlytek. This round of financing will be used for core technology product research and development and market ecological construction.
Yunjinwei was established in June 2021 and focuses on the research and development of embodied intelligent operating systems. The company was founded by Dr. Wang Wenyi, the former general manager of Yitu Technology Hardware Division. The co-founder, Dr. Zhou Chang, was the head of the research and development of the urban brain vision large model of Alibaba Damo Academy. The team has been supported by Ningbo Yaojiang Talent Plan and Yongjiang Talent Project Plan, and has received government funding subsidies worth tens of millions.
The company's independently developed Yunjin OS and supporting products control the cost of edge computing equipment within 10,000 yuan, providing enterprises with low-threshold AI solutions. At present, it has been commercialized in the fields of energy, water affairs, transportation, etc., serving nearly a hundred corporate customers, with cumulative sales reaching tens of millions of yuan. Customers include China Electronics, Guiyang Rail Transit, SAIC Group and other large enterprises.
Yunjin Micro's core advantage lies in its independently developed VT-Transformer distributed collaborative computing framework, which has been open sourced in a pure C language version and can replace NVIDIA's CUDA architecture and support domestic AI chips. Through technological innovation, Yunjin Micro has reduced the cost of a million-level large-scale model deployment solution to 100,000 yuan, and reduced the cost of a 100,000-level visual computing solution to a thousand yuan level.
"Our goal is to make AI affordable for every enterprise." Wang Wenyi said that in the future, AI large model training will shift from the digital world of the Internet to the physical world, and from centralized network computing to distributed edge computing and cloud-edge collaboration. Yunjin Micro will continue to be committed to lowering the threshold for AI application and promoting the inclusive development of technology.
Yunjinwei's financing success and commercialization herald an important step in the industrial application of embodied intelligence technology. Its vision of "making AI affordable for every enterprise" also points the way for the inclusive development of AI technology. direction. In the future, we look forward to Yunjin Micro Energy continuing to innovate and bring AI empowerment to more companies.