Industry: AI Region: Czech Transaction price: US$ 1 million Transaction method: equity investment
Project introduction:
A Czech company focusing on geospatial intelligence and artificial intelligence technology is committed to providing innovative spatial analysis solutions for cities through satellite data and advanced algorithms; It mainly provides intelligent urban green development services for cities and municipal authorities, aiming at helping cities to effectively plan and manage green space, thereby enhancing the resilience of cities to climate change and improving the quality of life of residents.
The company's main product modules include four core services:
1. Green space assessment, which uses the time-series image data of European Space Agency satellites to map the urban green space, evaluate its vitality and density, and classify each green space unit, making up for the deficiency that traditional municipal monitoring only covers 10%-40% of public green space.
2. Green space prediction, combining satellite and climate data with advanced artificial intelligence algorithm, can accurately predict the urban green space infrastructure in the next 10 to 20 years, and help the city to take maintenance and improvement measures in advance.
3. Vision planning of green space: based on the evaluation data, formulate differentiated green space development strategies for cities, provide customized suggestions for different needs such as biodiversity, microclimate regulation or urban heat island mitigation, and set measurable indicators that can be recalculated every year.
4. Impact assessment, which is used to assess the actual effect of the implemented or planned green initiatives, ensure the effectiveness of intervention measures and provide data support for future optimization.
The service data covers all aspects and is cost-effective. Through satellite remote sensing technology, all urban green spaces (including private green spaces and forests) can be monitored without dead ends, which avoids the problems of high cost and low coverage of traditional manual inspections. The prediction ability is leading, and its AI algorithm can process the historical data of thousands of green space units and make more accurate long-term prediction than human experts, which is difficult for traditional arborists and landscape architects to achieve; Systematization of decision support not only provides status analysis, but also constructs a complete closed loop from evaluation, prediction, planning to effect verification, enabling municipal departments to formulate scientific greening policies based on data and systematically improve urban environmental, social and economic values.