SERES Advances AI-Driven Smart Mobility Solutions

Clifford Kang, Vice President of SERES Group, outlined the companys AI-driven strategy for electric mobility at the 2026 World Internet Conference Asia-Pacific Summit in Hong Kong. He framed AI as moving from functional to frictionless and described how SERES embeds intelligence across product, manufacturing, and services to improve user experience and long-term competitiveness. The company cited the AITO premium brand partnership with Huawei from 2021 and reported 880,000 active users of its smart driving assistance system with 6.6 billion kilometres of recorded journeys.

SERES emphasizes embedding intelligence across the full value chain rather than treating autonomy or driver assistance as isolated features. Key implementation areas include:

• •product development, where data and AI inform feature prioritization and in-vehicle UX
• •manufacturing, where connected diagnostics and predictive maintenance reduce friction and costs
• •user services, leveraging fleet data to personalize experiences and enable lifecycle monetization

The AITO program represents a cross-industry software-hardware approach, combining vehicle OEM capabilities with partner stacks to deliver higher-level user services. The company did not disclose specific model architectures, onboard compute stacks, or autonomy levels, but the usage metrics indicate substantial in-field telemetry and fleet learning capability.

This announcement is a concrete example of the industry trend toward treating vehicles as persistent data platforms. SERES is translating a brand thesis, "Intelligence Redefining Luxury," into measurable adoption, which matters for practitioners building vehicle ML pipelines, OTA systems, and user-facing services. The reported scale implies mature pipelines for data ingestion, labeling, and iterative model rollout, and it signals market validation for OEM-partnered software ecosystems versus vertically integrated approaches.

Track how SERES operationalizes fleet learning into model updates, the role Huawei continues to play in the software and cloud stack, and any disclosures about compute hardware, safety validation, or autonomy scope. Those details will determine whether SERES is scaling defensible, production-grade AI systems or primarily optimizing connected features.