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A forestry machine working a stand, overlaid with synchronised operator inputs and machine telemetry — throttle, steering, boom angle, hydraulic pressure, terrain slope — each anchored to the part of the scene it describes.

Powering the world’s
most experienced machines.

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© 2026 CIVA

62°N

A physical AI company building intelligence for the machines that do the world’s work.

An exploded technical drawing of an engine assembly rendered in white line on deep green, with human hands drawn among the parts — pistons, gears, bearings and shafts laid out in order alongside the hands that work them.

(Reality)

The physical world can’t be fully defined in advance.

(+Experience)

Machines that learn from what they encounter can carry knowledge from one situation into the next.

(=Intelligence)

  1. Understand changing conditions01
  2. Anticipate what comes next02
  3. Adapt to what happens03

Where CIVA works

Explore a collaboration
  1. A forwarder seen from directly overhead, working a narrow strip road between stands of spruce, with dust and exhaust lit by low sun through the canopy.
    (01)ForestryHarvesters and forwarders
  2. An overhead view of a cleared earthworks site: a tracked excavator, a wheel loader and a dozer parked among their own churned tracks in wet ground.
    (02)EarthmovingExcavators, loaders and dozers
  3. An open-pit mine cut into benches, with a rope shovel loading a haul truck mid-frame, a queue of trucks on the bench above, and two drill rigs on the floor below.
    (03)MiningShovels, haul trucks and drills
  4. A refinery at dusk: fractionating columns, stacks and a spherical storage tank picked out by work lighting, with banked pipe racks running across the foreground.
    (04)Energy and processHeavy lift and turnaround plant

A world where dangerous work is done by machines, not people.

Stockholm, Sweden