深耕制造业，赛意信息携手高技术制造业推进智能制造转型升级

Group 1: PCB Industry Developments - Recent stock performance of domestic high-end PCB manufacturers such as Shenghong Technology, Jingwang Electronics, and Shennan Circuit has been impressive, with price increases of 67.73%, 57.21%, and 39.44% respectively since June [1] - The global AI/HPC server PCB market is projected to reach $1.9 billion in 2024, with a year-on-year growth of nearly 150%, and is expected to grow to $3.17 billion by 2028, reflecting a compound annual growth rate of 32.5% from 2023 to 2028 [2] - The demand for AI servers is pushing PCB technology towards higher layer counts, with AI server PCBs typically ranging from 20 to 30 layers, compared to a maximum of 16 layers for traditional server PCBs [2] Group 2: Company Innovations and Solutions - Saiyi Information has developed an AI platform called "Shanmo GPT" tailored for the PCB industry, optimizing the entire process from order receipt to production preparation, significantly reducing parameter extraction time from 4-6 hours to a few minutes with over 95% accuracy [3] - The company has introduced various AI-native applications, such as automated MI parameter extraction and intelligent quoting, which enhance data processing accuracy and efficiency, compressing preparation time from hours to minutes [4] - Saiyi Information's solutions have been adopted by 90% of the top 10 PCB companies in China, providing strong digital and intelligent operational support [4][5] Group 3: Empowering the New Energy Sector - Since 2012, Saiyi Information has focused on smart manufacturing, helping companies in the new energy sector, particularly in solid-state battery technology, to achieve digital transformation [6] - The company has established deep partnerships with leading domestic firms, including CATL, to create a comprehensive digital solution covering the entire smart manufacturing chain [6] - Saiyi Information's lithium battery industry digital transformation solution integrates smart manufacturing, IIoT technology, big data analysis, and digital twin technology, improving production efficiency and product quality while reducing costs [7]