HK Stock Market Move | RIMAG GROUP (02522) rises over 4%, plans to increase capital by nearly 100 million to Yonghe Medical Pulse, and the medical imaging database achieves the first commercial transformation agreement.

RIMAG GROUP (02522) rose more than 4%, as of the time of publication, it rose 3.34% to 15.46 Hong Kong dollars, with a turnover of 51.26 million Hong Kong dollars. In terms of news, RIMAG GROUP announced that on October 29, 2025, the company entered into a "Capital Increase Subscription Agreement" with Shanghai Yinghe Yimai Intelligent Technology Co., Ltd. (Yinghe Yimai) and its related parties. According to this agreement, the company will subscribe to the increased registered capital of Yinghe Yimai at a total cost of nearly 100 million RMB. After this transaction is completed, the company's total equity stake in Yinghe Yimai will be further increased. This capital increase and increased shareholding is an important measure for the company to implement the strategy of the integration of three elements in medical image AI (medical image data + AI base model + image center scene), which is highly consistent with the company's long-term development plan in the medical image field. It is worth noting that, according to the announcement by RIMAG GROUP, by the end of October 2025, the medical imaging database jointly built by the three parties had successfully achieved the first commercial conversion contract in the data sandbox environment, providing an outsourced large model training service with a training service fee reaching the level of tens of millions of RMB. This achievement marks a substantial breakthrough for the group in promoting the commercialization and value realization of medical image data elements. This cooperation not only promotes the transformation of the group's data assets' value through compliant and innovative joint construction mechanisms, but also further deepens the group's strategic layout in the data business field, enhancing the comprehensive competitiveness of the group in the field of medical image artificial intelligence.