Announced details
Autonomous driving system development, infrastructure management, urban development, traffic-flow analysis, disaster prevention and response, AI model training and evaluation, simulation, and digital twins
A relationship involving the publication of a sample of the company's dataset on Hugging Face. Capital and personnel relationships are not disclosed.
A platform for the machine-learning community where AI developers worldwide share models and datasets. Other information, including location, representative, capital and year established, is not disclosed.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | Dataset for physical AI / AI-native data sample (intersection multimodal dataset) |
| Counterparty | Hugging Face |
| Counterparty overview | A platform for the machine-learning community where AI developers worldwide share models and datasets. Other information, including location, representative, capital and year established, is not disclosed. |
| Relationship with the Company | A relationship involving the publication of a sample of the company's dataset on Hugging Face. Capital and personnel relationships are not disclosed. |
| Launch date | Published on 17 June 2026 (actual) |
| Applicable area | Autonomous driving system development, infrastructure management, urban development, traffic-flow analysis, disaster prevention and response, AI model training and evaluation, simulation, and digital twins |
Items this document does not state (12)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.To further develop and provide AI-native data, against a backdrop of the growing importance of high-precision data designed for specific applications as AI technology advances, and the time and cost required to collect large volumes of real-world driving data and capture rare scenes.