UrbanAI
Case Studies
Explore UrbanAI’s scalable and innovative AI-driven workflow implemented across six cities. From preserving Zurich’s historical heritage to enhancing Cape Town’s greening potential, our solutions address unique city-specific challenges while advancing circular economy strategies.
Case 1: Zurich
In Zurich, UrbanAI was leveraged to identify and map materials in heritage buildings, addressing the dual challenge of preserving historical architecture and promoting circular economy practices. This approach supports sustainable restoration while maintaining the city's cultural integrity.
Case 2: San Francisco
By mapping façade vulnerabilities in San Francisco, UrbanAI provided data-driven insights to mitigate potential seismic risks. These solutions support retrofitting strategies that prioritize safety and material reuse.
Case 3: Melbourne
UrbanAI’s analysis of building façades in Melbourne identified opportunities for energy-efficient upgrades. The findings guide retrofitting efforts, reducing energy consumption and aligning with sustainability goals.
Case 4: Mumbai
In Mumbai, UrbanAI was used to create material density maps to address urban morphology challenges in densely populated areas. These insights enable efficient resource allocation and circular economy integration.
Case 5: Rio De Janeiro
UrbanAI mapped building vulnerabilities to inform flood adaptation strategies in Rio de Janeiro. This data empowers stakeholders to integrate circularity into climate resilience efforts.
Case 6: Cape Town
UrbanAI assessed building façades in Cape Town to identify greening potential, such as vertical gardens and green façades. The initiative promotes urban biodiversity and climate resilience.
