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魔视智能正式递表港交所,将募资加码智驾方案迭代
Ju Chao Zi Xun· 2025-09-27 02:50
Core Viewpoint - Magic View Intelligent Technology (Shanghai) Co., Ltd. has submitted its listing application to the Hong Kong Stock Exchange, aiming to raise funds to enhance its R&D capabilities and focus on the continuous iteration and upgrading of intelligent driving solutions [2] Group 1: Company Overview - The company is an AI-driven provider of intelligent driving solutions, committed to empowering future mobility and achieving "intelligent driving equality" [2] - Magic View is one of the few suppliers in the industry with a fully self-developed technology stack, covering core technologies in algorithms, models, data governance, and intelligent driving hardware and software [2][6] - The company has delivered over 3.3 million sets of solutions across 92 vehicle models, validating its technical strength [3] Group 2: Technology and Solutions - The technology is based on a fully self-developed AI algorithm engine, capable of accurate environmental perception, vehicle positioning, path planning, and driving decision-making [5] - The company provides integrated hardware and software solutions with L0 to L4 intelligent driving functions, supporting the intelligent transformation of OEMs [3][6] - Solutions include driving solutions, automatic parking solutions, and active safety solutions, delivered in various forms such as domain controllers, smart front-view camera modules, software licenses, and sensors [6] Group 3: Market Position and Competitive Advantage - According to revenue from L0 to L2+ solutions, the company ranks third among third-party providers in China [7] - It is one of the first companies in China to achieve mass production of passenger car intelligent driving solutions using self-developed AI models [7] - The company has a broad market coverage, including regions such as the Americas, Europe, Southeast Asia, the Middle East, and Oceania [7] - The platform is compatible with over 10 major international and domestic intelligent driving chip platforms, significantly reducing the time required to adapt and deploy new algorithms [7]