Cities rely on static data that do not measure ongoing mobility trends. Reports are traditionally done through data collected by surveys that are only answered by a few.
People-centric mobility data is non-existent. Collected data is now centered on vehicle and public transport usage and do not tell the full story of how citizens commute.
The usage of fixed data makes it imposible to measure the impact of changes in infrastructure and policies done by cities in an agile way, making improvements slow.
Using artificial intelligence and smartphone motion sensors, our mobile app and SDK automatically detect all of users’ journeys, whether they are by bus, car, bike, or even on foot, and shares with them how eco-friendly, safe and active their mobility habits are, the CO2 emissions they produce and how they compare with the rest of the community.
Our gamified in-app challenges, behavioral economic techniques, and hyper-personalized interactions encourage citizens to adopt sustainable, safe, and active mobility habits. We empower people to take positive actions by supporting CO2 offsetting programs, social causes or integrating with the city council’s projects.
Turning motion sensor data into mobility, lifestyle, and driving insights we city planning departments, transit control agencies, sustainability city leaders and policy makers powerful analytics for them to understand how people commute in their cities, design changes and policies with real time data and be able to track the improvements right away, allowing them to reach the city’s goals more rapidly.
