UISEE and Xunce Technology Form Strategic Partnership to Build AI Data Foundation for the Autonomous Driving Industry

2026-07-07

Recently, UISEE (Beijing) Technology Co., Ltd.

(01511.HK) and Shenzhen Xunce Technology Co., Ltd. ("Xunce

Technology") officially signed a strategic cooperation memorandum. The two

parties will carry out collaborative exploration and co-construction in areas

including building high-quality

autonomous driving industry datasets, developing industry small models and

intelligent agents driven by Token factories, exploring innovative Token

business models, and advancing the implementation of full-scenario joint

solutions, creating a new path for the intelligent upgrading of the

autonomous driving industry.

Data is the nutrient that enhances the capabilities

of autonomous driving models. The autonomous driving industry has currently shifted from "competing on algorithm

innovation" to "competing on data scale and quality".

Leveraging its long-term commercial operations in closed or semi-closed

scenarios such as airports, ports, mines, and factories, UISEE has accumulated

massive amounts of high-quality, structured, and well-annotated datasets,

forming a data flywheel for proprietary scenarios. This data with professional barriers is precisely the core moat of future

physical AI.

Xunce Technology is a leading provider of real-time

data infrastructure and analytics solutions. Centered on a cloud-native unified

data platform, it enables the collection, cleansing, governance, analysis, and

full lifecycle management of multi-source heterogeneous data, and possesses mature full-link data service capabilities

for AI applications and AI data infrastructure construction capabilities.

UISEE is a leading provider of L4 full-scenario autonomous driving solutions.

With its universal full-scenario autonomous driving technology, it has firmly

established itself as an industry leader in commercial vehicle applications for

airport and factory scenarios. Its business development extends from closed scenarios to open scenarios, and its service scope

expands from logistics to passenger-carrying scenarios, covering the

implementation of all levels of autonomous driving applications from L2 to L4.

Gan Sha Wu, Co-founder, Chairman and CEO of UISEE,

stated: "UISEE has always emphasized the strategic value of full scenarios, accumulating sufficient

data through enough vehicles and enough scenarios. The core of future AI competition is proprietary data—not public data

that can be downloaded online or data that anyone can collect on public roads,

but data obtained within each specific industry. This data forms UISEE's data

flywheel and constitutes a unique competitive advantage. Through this

cooperation, we hope to leverage Xunce's data capabilities to accelerate the

two-way iteration of autonomous driving technology and scenarios, injecting new

momentum into the long-term development of the autonomous driving

industry."

Gan Sha Wu, Co-founder, Chairman and CEO of UISEE,

stated: "UISEE has always emphasized the strategic value of full

scenarios, accumulating sufficient data through enough vehicles and enough

scenarios. Unlike data from public roads, proprietary data in closed or

semi-closed scenarios can only be possessed by companies like UISEE. This data

forms our data flywheel and constitutes a unique competitive advantage. Through

this cooperation, we hope to leverage Xunce's data capabilities to accelerate

the two-way iteration of autonomous driving technology and scenarios, injecting

new momentum into the long-term development of the autonomous driving

industry."

This ecological cooperation represents a

cross-border integration between the autonomous driving industry and real-time

data infrastructure, and is also an important practice for the valorization of

industrial data in the era of physical AI. Moving forward, UISEE will continue

to use data value as a link, continuously expanding the technological

boundaries and commercial scenarios of autonomous driving, and facilitating the

intelligent upgrading of the entire industry.