强“链”聚势、向“智”而行 阿尔特三大AI核心产品重磅亮相、重塑汽车研发底层逻辑

Core Insights - The automotive industry is undergoing a significant transformation driven by artificial intelligence, with companies like Alt (300825.SZ) leading the charge in integrating AI into automotive design and development processes [1][4]. Group 1: AI Strategy and Product Launch - Alt has actively explored innovative models that integrate knowledge engineering, automotive design data, and AI models since announcing its AI strategy in 2023 [1]. - The company launched a new product system called "AI + Digital Intelligence Creation," featuring three core AI products aimed at reshaping the foundational logic of automotive research and development [2][3]. Group 2: Key AI Products - The "Yuanfang" knowledge model serves as an "intelligent assistant" for engineers, significantly reducing design iteration time from weeks to hours through capabilities like drawing analysis and intelligent review [3]. - The "Fangcun" product integrates AI with digital prototypes, utilizing cloud computing to enhance performance and automate gap and interference detection, thereby improving engineering efficiency and reducing costs [3]. - The "Yufeng" aerodynamic AI system predicts wind resistance in real-time during the design phase, shortening development cycles by two months and lowering costs [3]. - The "Taiyi" 3.0 version of the styling AI has evolved into a comprehensive automotive design platform, enhancing collaborative capabilities and integrating various design processes [3]. Group 3: Ecosystem Development - Alt has established an "ecological matrix" in collaboration with Modus World, uniting key industry players to create a vibrant and innovative ecosystem [5][6]. - The company emphasizes that competition in the intelligent era is shifting from individual enterprises to healthy ecological systems, highlighting the importance of collaboration and innovation [5]. - Alt aims to deepen AI technology research and application, accelerating the transformation of the automotive industry towards intelligent manufacturing and enhancing supply chain stability [6].