We believe the future should be built for everyone.
Until now, city spaces and transport services have been designed based on assumptions about how people are expected to move. But, they aren’t taking the whole population into consideration. As a result, for many, mobility is limited. Not just physically, but socially and economically. It’s stopping people from reaching their full potential.
An ineffective bus route can be the difference between a job not taken and a family life compromised. A lack of car-sharing services can lead to gridlocked traffic and an unhealthy work-life balance. The domino effect is dramatic. We believe the only way to fix this is to make sure everyone gets taken into account when decisions that affect their lives are made.
We unlock inclusive data.
We partner with mobile network operators to access data from the most accurate indicator of people’s movement – their mobile devices. It’s the one thing everyone has with them at all times. And cell towers don’t discriminate based on device or software. It means everyone gets taken into account.
Due to its complexity and scale, mobile network data has been nearly impossible to understand or utilize. That’s why we’ve pioneered a way to translate it into actionable insights and join it with other behavioral data at an unprecedented scale. For the first time, we’ve unlocked truly inclusive data on people’s journeys.
We spark real-world changes.
With a genuine understanding of where people move and why, we can ignite change to truly meet their needs. Optimised train routes result in access to economic opportunity for everyone. Innovative car ownership models reduce pollution and congestion. Better connected airports boost the local economy. And smarter evacuation routes mean more lives are saved in times of emergency.
We provide the most comprehensive information into people’s movements, allowing change makers to seize commercial opportunities and improve mobility services. Our insights help build a world that works for everyone, rather than a select few.