RIMAG GROUP (02522) subsidiary signed a "Data Cooperation Agreement" with Beijing Pilot Zone and Beijing Computing Power jointly.

date
08:29 03/11/2025
avatar
GMT Eight
Yi Mai Yang Guang (02522) issued an announcement that in October 2025, its subsidiary company Beijing Yi Mai Yang Guang Medical...
RIMAG GROUP (02522) announced that in October 2025, its subsidiary Beijing RIMAG GROUP Medical Information Technology Co., Ltd. (Beijing Yimai) signed a "Data Co-Construction Cooperation Agreement" with Beijing Data Preliminary Zone Service Co., Ltd. (Beijing Preliminary Zone) and Beijing International Computing Power Service Co., Ltd. (Beijing Computing Power). Beijing Preliminary Zone is the operating entity authorized by the Beijing Municipal Economic and Information Bureau to carry out the pilot work of Beijing Artificial Intelligence Data Sandbox, responsible for providing data processing, compliance review, and model training support; Beijing Computing Power provides trusted storage and computing power resources and other technical infrastructure. This collaboration aims to leverage the compliance regulatory framework of the data sandbox, based on the medical imaging data resources provided by Beijing Yimai, with Beijing Preliminary Zone responsible for data processing and compliance verification, and Beijing Computing Power providing computing power and storage support. The three parties will jointly build a high-quality medical imaging database, conduct large model training, and explore innovative applications of medical imaging data. It is worth noting that by the end of October 2025, the medical imaging database co-built by the three parties had successfully achieved its first commercial conversion contract within the data sandbox environment, offering a large-scale model training service to external parties, with training service fees reaching tens of millions of Chinese yuan. This achievement marks a significant breakthrough for the Group in promoting the marketization and value realization of medical imaging data elements. This collaboration not only promotes the transformation of the Group's data assets through innovative co-construction mechanisms, but also further deepens the Group's strategic layout in the data business field, strengthening its comprehensive competitiveness in the field of medical imaging artificial intelligence. The rapid realization of commercial income in this collaboration validates the market potential of this cooperation model, injecting new momentum into the sustainable development of the Group. The Board of Directors believes that this collaboration aligns with the national policy direction of market-oriented allocation of data elements and is expected to have a positive impact on the Group's business development.