Cities have data. Lots of it. Structured data like traffic, census tracts, and commerce. Unstructured data like tweets, wearable data, images, and videos. This data is typically stored in disconnected systems, where it is rapidly diversifying in type, exponentially increasing in volume, and becoming more difficult to use every day.
Mobility, travel, real estate, and urban planning companies who rely on this data don’t think in terms of rows, columns, or raw text. They think in terms of their company’s mission and the challenges it faces. Their users need to know the soul of a city in a language they understand. Enter Spatial.ai.
Fuse the data into a human-centric model
All data tracks back to humans, but gets disconnected from it’s creation in the process. Spatial tracks and categorizes 160+ behavioral patterns via social media across eight core human needs. We integrate all of the relevant source data into a single coherent model.
As geotagged data flow into the Spatial platform, they are transformed into meaningfully defined objects and relationships: people, behaviors, places, things, events, and the connections between them. The result is a fluid behavioral profile of a city.
Bring the data to life for human-driven decisions
Users interact with the Spatial data directly through your existing map. They seamlessly search across all of our data sources at once with a simple four button user interface on your map. For the first time users can get live and hyper-local insight into the soul of a city.
By reducing friction between users and their destinations, Spatial augments the social intelligence of your maps. For the first time users get an at-a-glance understanding at the vivid culture of a cities resulting in higher conversion and reduced bounce rate.