The startup provides integrated digital-twin solutions for urban development and construction management by utilizing self-developed applications of computer graphics, AI algorithms, and IoT technologies. Their platform enhances urban asset management and operational efficiency by enabling real-time data visualization and decision-making for city infrastructure projects.
Funding
Funding not disclosed
+1Founders
Product
Problem
Urban development and construction management often suffer from fragmented data, inefficient workflows, and a lack of real-time insights, hindering effective decision-making and asset management. Traditional methods struggle to integrate diverse data sources and provide a comprehensive view of city infrastructure projects.
Solution
The company offers integrated digital-twin solutions that leverage computer graphics, AI algorithms, and IoT technologies to enhance urban asset management and operational efficiency. Their platform enables real-time data visualization and informed decision-making for city infrastructure projects by creating a virtual representation of the physical environment. The platform integrates multi-modal urban spatial data, employs a business knowledge graph, and uses AI for scenario-based knowledge reasoning and prediction.
Target Audience
The primary customers are urban planners, construction companies, asset operators, and government entities involved in city infrastructure projects and urban development.
Features
- CIM (City Information Modeling) foundation platform for urban data asset fusion and scheduling
- Multi-modal urban spatial data integration and semantic data storage
- Business knowledge graph for urban planning, construction, management, and operation
- AI-powered scenario-based knowledge reasoning and prediction using graph neural networks
- Full-process project development toolchain with flexible customization and extension capabilities
- High-concurrency, strong-rendering dual-effect engine
- Support for diverse hybrid deployment options