In the past, car repairs were highly dependent on the personal experience of technicians, which led to a long-standing "information barrier" between car owners and repair shops. Today, this situation is being quietly broken by artificial intelligence technology.

Recently, Shenzhen Longgang company Xingka Technology launched a new AI diagnostic agent called "Tyler" for the global automotive after-sales market. This tool is backed by the company's self-developed automotive-specific large language model, "ThinkLLM." The model, through deep learning of more than 240 million real user diagnostic cases, can accurately read vehicle data and perform logically rigorous causal reasoning. For car owners and technicians, Tyler's most practical function is its ability to automatically generate repair plans, prioritize issues, and even provide accurate time estimates.

This technology not only improves the transparency of repairs but has also triggered a chain reaction in the industry. Currently, Xingka Technology has more than 140 AI-related patents and has completed national algorithm filing. As a representative enterprise of Longgang's AI industry "going global," its diagnostic equipment has been successfully deployed in 215 countries and regions around the world, with the platform's registered users exceeding 2.4 million.

In today's era where AI is fully empowering manufacturing and services, Xingka Technology's exploration provides the global automotive after-sales market with an efficient and standardized intelligent solution. It has officially ushered the car repair industry, once reliant on the "feel" of experienced technicians, into a new era of AI-assisted decision-making.