Against the backdrop of increasingly fierce competition in the global automotive market and rapidly changing consumer demands, the entire vehicle development cycle is facing unprecedented pressure. This trend is driven by changes in market demand, technological advancements, and intensified industry competition. More than 170 new car models will be launched domestically in 2025, and in September alone, nearly 70 new cars (including facelifts) will be launched. The car products that used to be updated every 3 years and undergo major upgrades every 5 years have now evolved to be updated every 6 months and upgraded every year.
However, the R&D and design process of automotive structures and components is complex, the R&D cycle is long, and the verification cost is high. At a critical moment when industry transformation challenges and new opportunities coexist, major car companies are trying to deeply apply digital, artificial intelligence and other technologies to the entire vehicle R&D and design process. By developing specialized models and intelligent agent applications in various business scenarios, engineers are liberated from tedious and repetitive labor, improving the R&D efficiency of automobiles and manufacturing equipment, and driving a new round of industry change. According to research data from top global consulting firm Roland Berger, in the next 3-5 years, with the comprehensive implementation of AI use cases, AI can help reduce labor costs by 35% -55% and non labor costs (including validation, prototyping, etc.) in the overall automotive research and development process by 15% -30%.

Recently, FAW Volkswagen Automotive Co., Ltd. (hereinafter referred to as FAW Volkswagen), Dajie Intelligent Technology (Guangdong) Co., Ltd. (hereinafter referred to as Dajie Intelligent), and Tianjin Automotive Mold Co., Ltd.

As a leading enterprise in China's automotive industry, FAW Volkswagen, with its strong system strength, rich product matrix, and leading market position, consistently ranks among the top three in terms of production and sales volume, and has a significant impact on the industry. In this cooperation, it fully leverages the platform and system advantages of the host factory, formulates unified design standards, opens up the research and development scenarios of vehicle mold, promotes the application of AI technology in the development of new vehicle mold, and further improves the competitiveness of vehicle products in terms of research and development cycle, cost, etc. through technological innovation.


Dajie Intelligence, with its technological foundation in industrial grade intelligent design, has gained high recognition from top customers through rigorous inspections and multiple rounds of testing. After 5 years of research and development, the company has broken through a series of core technologies in the field of industrial grade AI design, including knowledge extraction and modeling, feature recognition, intelligent geometric modeling, and professional AI model construction. It has accumulated more than 100 intellectual property rights, including over 70 authorized national invention patents. In this cooperation, Dajie Intelligent has imported Volkswagen design standards based on the existing general AI design system, adapted and developed a mold intelligent design system that meets Volkswagen's standard system, and solved the bottleneck technical problem of mold development in new car development.

As a leading global automotive mold company, Tianqi Mold has decades of accumulated automotive mold technology. As an AI system application party, it conducts system application practice in new vehicle mold projects, continuously proposes optimization suggestions for the system in practical engineering applications, and accelerates the engineering iteration of AI design systems.
Through cooperation in AI design, the three parties complement each other's strengths and leverage their respective technological advantages in vehicle research and development, standard systems, software algorithms, mold expertise, basic data, and other areas to jointly promote industrial technological innovation, thereby achieving the construction of core competitiveness in the industry chain under the new market competition pattern. The implementation of this collaborative project indicates that Dajie's industrial grade AI design technology has formed a leading customer group in the automotive industry, and will accelerate the coverage of the industry's industrial grade AI industry ecosystem.
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Source: Dajie Intelligent
Editor: Zhang Shaoyou
Reviewed by: Yi Jianye