DoorCity extends navigation beyond the vehicle — into the building.
The platform combines motion sensing, building structure, and continuous learning to enable accurate positioning where GPS is unavailable.
DoorCity operates without requiring pre-existing indoor maps. Instead, it builds and refines building-level data through real-world use — improving accuracy over time.
This is achieved through a combination of AI and classical algorithms that analyze building data, user movement, and detected features — both labeled and automatically inferred.
The platform delivers three core capabilities:
This creates a scalable layer of indoor navigation for dense cities — similar to how GPS enabled outdoor navigation.
The platform combines motion sensing, building structure, and continuous learning to enable accurate positioning where GPS is unavailable.
DoorCity operates without requiring pre-existing indoor maps. Instead, it builds and refines building-level data through real-world use — improving accuracy over time.
This is achieved through a combination of AI and classical algorithms that analyze building data, user movement, and detected features — both labeled and automatically inferred.
The platform delivers three core capabilities:
- Localization — precise positioning inside buildings
- Building Data — continuously updated maps of real-world structures
- Navigation — enabling guidance to final doors as the system matures
This creates a scalable layer of indoor navigation for dense cities — similar to how GPS enabled outdoor navigation.