New Stock News | MoVision Smart submitted an application to the Hong Kong Stock Exchange, delivering over 3.3 million sets of intelligent driving solutions

According to the Hong Kong Stock Exchange's disclosure on September 26, MoVision Intelligent Technology (Shanghai) Co., Ltd. (referred to as: MoVision Intelligent) has submitted a listing application to the main board of the Hong Kong Stock Exchange, with GUOTAI JUNAN I and Guosen Securities (Hong Kong) as joint sponsors. According to the prospectus, as an intelligent driving solution provider driven by artificial intelligence innovation, MoVision Intelligent is committed to empowering future mobility. Relying on a full-stack self-research technology system from underlying algorithms to application layers, the company has built excellent performance safety benchmarks, a reassuring user experience, and transitioned from functional collaboration to advanced intelligent driving modes. The company is one of the few suppliers in the industry with AI-native genes and technical accumulation, possessing full-stack self-research capabilities, achieving comprehensive self-research in algorithms, models, data governance, and core technologies for intelligent driving hardware and software. These capabilities enable the company to efficiently respond to the diverse scene and function customization needs of OEMs, while also assisting some traditional OEMs in completing their intelligent transformation in a more cost-effective manner, providing end users with a safe, comfortable, easy-to-operate, and intelligent driving experience. The company provides integrated hardware and software solutions with L0 to L4 intelligent driving functions for OEMs and tier-one suppliers, assisting their intelligent transformation and promoting the popularization of intelligent driving, offering users a safe, convenient, and efficient travel experience. During the track record period, the company's solutions have been selected by OEM customers for 92 vehicle models, delivering over 3.3 million sets, validating its technical strength. According to data from ZhiShi Consulting: The company is one of the few third-party providers in China's intelligent driving solution enterprises with self-researched AI algorithm design, ranking third among such providers based on revenue from L0 to L2+ level (including L2+) solutions in 2024. The company is one of the first in China to achieve mass production of passenger car intelligent driving solutions developed with self-researched AI models. The company is one of the first third-party intelligent driving solution providers in China to achieve mass production for global models of Chinese OEMs, with the widest market coverage, including the Americas, Europe, Southeast Asia, the Middle East, and Oceania. The company's platform has the most comprehensive functions in the industry, compatible with over 10 major international and domestic intelligent driving chip platforms. With the versatility of intelligent driving algorithms and expertise in chip architecture, the company can adapt and deploy new algorithms on new chip platforms in less than two weeks, far faster than the industry average. The company's technology can be seamlessly integrated with downstream customer products, enhancing deployment efficiency and shortening the launch cycle of new models from over six months to as short as three months, significantly below the industry average. The company's technology is based on a full-stack self-researched AI algorithm engine, providing powerful deep learning capabilities from basic training frameworks to application layer models. The company achieves accurate environmental perception, vehicle positioning, path planning, and driving decision-making through the integration of sensors and the continuous evolution of algorithms from CNN convolutional neural networks to end-to-end AI models Covering parking, highway, and urban driving scenarios. In terms of performance, for the six months ending June 30 in 2022, 2023, 2024, and 2025, the company achieved revenues of approximately RMB 118 million, RMB 147 million, RMB 357 million, and RMB 189 million, respectively; during the same period, the losses for the year/period were approximately RMB 200 million, RMB 228 million, RMB 233 million, and RMB 112 million.