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One flight, the whole valley.

Today we fly for inspection. Tomorrow the same flight delivers the data for physical AI.

Gürbetal example

The same flight, ten uses.

The flight along the railway also sees the forest beside it, the river, the power line and the village. The same capture is useful to ten different users: forestry and farming, energy and telecoms, water management and natural hazards, councils and insurers, environment and infrastructure. One flight, paid for once and used many times over.

  • 1flight
  • 10uses

Flight by flight

The valley as a time series.

Every flight takes the same path, with the same capture. Lay the flights on top of each other and the pictures become a series: what's changed, where, and since when.

  1. Flight 1

    The capture

    Orthophoto and point cloud of the line, and the valley around it.

  2. Flight 2

    The difference

    Same line, same capture. Where vegetation or an embankment has changed, the heatmap lights up.

  3. Every flight after

    The pattern

    With every flight you see how the whole valley changes.

Physical AI needs the real world.

AI that acts in the world needs captures of the real world: current, repeated and georeferenced. Language models exist because the internet exists. Image models, because billions of photos exist. For machines that have to find their own way around outdoors, that foundation is still too rare and too old. And that's exactly what we build on the side, flight by flight.

rendering, not a survey

The vision starts with your line.

Today we fly for rail and grid. Name your line and you'll get the heatmap. If you're thinking bigger, let's talk about the valley.