Physical AI for Tree Intelligence

Why Darbots

Cities are losing inspectors faster than they are losing trees. Darbots reads every tree from images and 3D scans, understands its structure and health, and points your crews to the ones that could fail.

The platform

From vision data to priorities.

  1. 01

    Capture Vision data

    Camera images and 3D scans capture every tree while you drive or walk.

  2. 02

    Analyze AI layer

    Our models combine images and scans, separate trunk, branches and crown, then measure height, diameter and structure.

  3. 03

    Decide SaaS layer

    Defects are located and scored, so your crews go to the trees that need them first.

Points: 0Layer: intensity

Real-world applications

One platform, six kinds of tree work.

Urban Tree Care
HealthyWatchHighCritical

City arborist

Which of our 42,000 street trees need an inspection before the autumn storms?

Darbots

1,280 trees show elevated risk. 64 are critical: trunk cavities and dead branches over footpaths and playgrounds. A route plan is ready.

Critical trees
64 trees
Field time saved
70 %

Example scenario

Learn more

Publications

Born in a research lab. Built for the street.

Darbots grew out of years of research at the Technical University of Munich on remote sensing, computer vision and urban forestry.

Read the publications

What would we find in your trees?