Xunce (ASX: 03317) has announced the formal signing of a three-party strategic cooperation agreement with PATEO (ASX: 02889), a provider of AI-centric "software-hardware-chip-cloud integrated" automotive and mobile terminal solutions and ecosystem services, and SAIMO (ASX: 02571), a technology firm specializing in Intelligent Connected Vehicle (ICV) simulation testing.
This strategic partnership signifies the group's extension of its data tokenization capabilities into the smart connected vehicle sector.
Collaborative Development Focus
The three parties will jointly research and develop a Token-based Physical AI and World Model. They aim to expand the Token World Model industrial ecosystem and establish a comprehensive closed-loop industrial system encompassing "edge hardware + simulation testing + data infrastructure + Token settlement + commercial operations," collectively advancing the integration, application, and commercial implementation of the Token economy within vehicular scenarios.
Key Areas of Strategic Cooperation
Under the agreement, the collaboration will focus on three primary areas. First, the joint R&D of a Token-based Physical AI and World Model. This will center on core capabilities for smart connected vehicles, such as environmental perception, user behavior understanding, travel intent prediction, service recommendation, and multimodal interaction. The goal is to train vertical scenario models for smart cockpits and Physical AI, extending the Token measurement system from semantic understanding to physical world interaction, thereby establishing a tokenized value measurement foundation for in-vehicle AI services.
Second, the joint expansion of the Token World Model industrial ecosystem. This involves promoting the application of Xunce's TokenOS operating system and its Physical AI World Model within AI-powered vehicles, mobile terminals, and related industrial ecosystems. The parties will co-create tokenized industrial collaboration methods to accelerate the deployment of Physical AI and World Models in the industry.
Third, the joint advancement of scalable commercial implementation in vehicular scenarios. The focus will be on high-frequency, high-engagement cockpit scenarios like in-car voice assistants, travel planning, vehicle control services, brand-guided shopping, charging/refueling, parking navigation, and insurance services. The aim is to develop replicable, billable tokenized AI Agent applications, completing the full cycle from technical validation to commercial closure.
Anticipated Outcomes
Based on the strategic agreement and related business plans, this cooperation is expected to accelerate the large-scale deployment of Physical AI and World Models in vehicle scenarios, drive continuous growth in Token usage, and has the potential to generate significant annual recurring Token usage revenue for Xunce. The specific business scale will depend on the progress of in-vehicle AI Agent deployment, the growth in Token usage, and the expansion of ecosystem partnerships.
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