The 6th Yanzhi Automotive Annual Conference, organized by Yanzhi Automotive, was recently held in Shanghai. Under the theme “Intelligent Control · Integration · New Beginnings,” the conference brought together key players from the automotive industry chain, including OEMs, technology companies, parts suppliers, and research institutions – deconstructing innovation logic, sharing technology deployment outcomes, and exploring practical pathways.

Carlinx was honored with the “AI Large Model Technology Innovation Award” at the concurrent 5th Zhiding Award Ceremony, for its innovative application “Hyper Agent” – which deeply integrates general-purpose models with the automotive vertical domain.
The Zhiding Award is a prestigious public welfare award in the automotive industry, established by Yanzhi Automotive. It identifies, evaluates, and promotes new technologies, products, and business models emerging in the smart automotive sector each year. The award invites authoritative figures from across the smart automotive industry chain to evaluate candidates based on brand building, technological innovation, and mass‑production practices.

Hyper Agent breaks through the limitations of traditional rule‑based engines and machine learning in complex scenarios. It enables cross‑modal, causal‑level diagnostics on valid data, forming an intelligent closed loop of “data – knowledge – decision.” This helps companies in the automotive industry chain improve operational efficiency, reduce fault and risk costs, and explore new scenario‑based data applications. The technology has already been productized and delivered across multiple scenarios throughout the entire vehicle lifecycle, and has been deployed across the industry chain – including OEMs, dealers, after‑sales services, financial institutions, and insurance.

AI large models are continuously unlocking new value spaces for automotive data intelligence. This award represents the automotive industry’s recognition of Carlinx’s innovation capability and research achievements in the field of automotive large models.
Looking ahead, Carlinx will leverage more precise data analysis, more efficient intelligent reasoning, and more open ecosystem collaboration to drive automotive data intelligence value from “data accumulation” to a full closed loop of “AI decision‑making” – making every mile more valuable.
