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Point your camera, and building information is augmented onto the buildings in front of you

No opening a map, searching, and comparing it against what is in front of you. Information lands directly on the building on screen.

Point your camera, and building information is augmented onto the buildings in front of youPoint your camera, and building information is augmented onto the buildings in front of youPoint your camera, and building information is augmented onto the buildings in front of you

A break between the building in front of you and the map

01

Three steps to one answer

You cannot check a building on sight, so it takes opening a map app, searching, and comparing.

02

The last metre of delivery

Finding the entrance and unit after arriving at the address eats into delivery time.

03

The gap after navigation ends

Once turn-by-turn guidance finishes, identifying the destination building by eye is unsupported.

Building information that augments the moment you point the camera

The ScanPang app running
The ScanPang app running
  • 1

    Augments on sight

    Search and waiting are gone. On-device computation renders without delay.

  • 2

    Several buildings at once

    Labels attach to the visible face of every building in view simultaneously.

  • 3

    Labels that stay on the building

    Distance, angle, movement, rotation and overlapping facades do not break alignment. Tapping a label opens the building details.

A building layer that works across devices and apps

Delivery and logistics

Riders spend less time hunting for entrances and drop-off points at the door.

Mobility and navigation

Drivers pick out the destination building on screen once guidance ends.

Delivery robots and AI agents

It becomes the information API that software and robots, not just people, call to identify a building.

The end goal is the spatial information layer for AI glasses

The race in AI glasses hardware is already on, but the real-space information layer that runs on it is still empty.
As maps and messengers did in the early smartphone years, whoever claims the first layer sets the standard.
ScanPang proves it on phones and in cars first, then extends to glasses.

  1. Designed to work across devices

    From a phone to a car display to AI glasses,
    the structure that answers "the building in front of me" stays the same.

  2. Compute a headset can afford

    Linear maths with no spatial map and no neural net, so it can run on wearables with tight power and heat budgets.

  3. Building information augmented in your field of view

    Information appearing simply because you look, with no search and no controls,
    fits AI glasses more naturally than anything else.

Considering ScanPang for your product?

We will send documentation on SDK integration and the building information API.

Contact us