Event Recap | Hyper Agent: Unlocking Data Value from the Full Vehicle Lifecycle, By Dr. Li Sheng, Chief Engineer of Carlinx

The 2025 Automechanika Shanghai, the world's largest trade fair for the automotive aftermarket, has concluded successfully. Carlinx's Chief Engineer, Dr. Li Sheng, was invited to speak at the "Technology·Innovation·Trends" session. Under the theme "Hyper Agent: Unlocking Data Value from the Full Vehicle Lifecycle", Dr. Li delivered a keynote presentation that systematically showcased Calinx's latest breakthroughs in the field of AI agents.

"We’re sitting on a goldmine of data, but why are we still moving so slowly?" With this question, Dr. Li Sheng cut straight to the critical dilemma of the automotive industry. While data volume in this sector is growing exponentially, the valuable ones from R&D, production, after-sales, and operations remain locked in isolated silos. Compounded by issues of ambiguity and poor quality, often called "data darkness", this fragmented landscape renders traditional data centers and APIs monotonous "data movers." They can only transfer information but lack the capacity to understand its business context.

Carlinx's Hyper Agent is more than a "connector", it is a cognitive "engine" of understanding. At its core, Hyper Agent integrates LLMs as its decision-making "brain", marking a revolutionary shift in automotive data governance from "tool-assisted" to "intelligent-driven". Hyper Agent no longer passively receive and carry out orders, but can actively interpret sectoral terminology and transform complex unstructured data into computable, reasoning-ready digital assets.

Technological Breakthrough: Making Applications as Easy as Chatting

In terms of accessibility, Hyper Agent, powered by LLMs, significantly lowers the barrier to use as a data-intensive application.

    ● Semantic Understanding & Automatic Mapping: In the past, experts had to manually configure rules to handle different expressions like "engine abnormal sound" or "motor noise." Now, Hyper Agent can deeply understand the terminology and automatically map heterogeneous data to a unified model, without any manual intervention.

    ● Natural Language Interaction: This is Hyper Agent’s most tangible advantage. Managers no longer need to learn complex query scripts. Instead, they can simply issue commands in natural language, for example "Find all data sources for battery modules with reliability below 90%", and Hyper Agent will automatically perform data exploration to detect anomaly, and generate suggestions for completion.

"What you say is what you get", by liberating operation staffs from manual tasks, Hyper Agent is driving a leap forward in data governance.

In-Practice: Redefining Full Lifecycle Services Across Three Dimensions

Hyper Agent has three core applications across the automotive lifecycle.

    ● In terms of battery safety, it integrates multi-source data (BMS data + charging records + external information) to construct a knowledge graph to identify latent patterns of battery failure. This enables the system to predict thermal runaway from "hours-earlier" to "days/weeks in advance", making early intervention possible.

    ● In accident repair scenarios, Hyper Agent analyzes collision data from collision sensors and dashcams to generate repair plans and lists of required parts, which are then pushed to service centers. This transforms the vehicle owner’s experience from "seeking help" to "being served."

    ● For insurance risk control, it translates driving behavior into risk profiles, enabling UBI (Usage-Based Insurance) pricing to move from "one-size-fits-all" to "hyper-personalized" premiums. This upgrade the insurance model from "post-incident compensation" to "preventive risk management."

Looking ahead, Carlinx will continue to integrate data with AI agents, unlocking the full value of data across full vehicle lifecycle. We are committed to helping OEMs and industry partners transform data into value-added services and enhanced experiences - making every mile more valuable.