Air Quality
Predict and visualize urban air pollution.
- PM2.5 prediction
- City-scale visualization
Urban intelligence for climate action
Urban data for cleaner air, lower carbon, and healthier communities.
One city, one shared view
Six connected modules. One explorable city.
Predict and visualize urban air pollution.
Combine physics and machine learning.
Map rooftop and solar potential.
Turn research into upgrade pathways.
Compare design and retrofit choices.

Explore the digital twin at human scale.
Enter VR ↗Measurable urban change
Compare carbon, health, and community outcomes—block by block.
Explore our approach ↗potential operational carbon reduction
faster comparative scenario analysis
accessible spatial decision support
Research in practice
People behind the platform
Environmental data, building science, and immersive visualization.
Environmental & Building Intelligence
Air-quality prediction, simulation, and machine learning.
Solar & Computer Vision
Renewable-energy data, computer vision, and solar analysis.
Integration & Immersive Systems
Retrofit, scenarios, platform integration, and WebXR.
Media & demonstrations
Interactive experiences and visual stories.
Explore the immersive digital twin.
Launch ↗See particulate matter move through the city.
View module →Methods behind the platform.
Explore →The city is already speaking
Explore the digital twin.