Physical AI Infrastructure-as-a-Service

The physical layer for Physical AI.

Robots, environments, teleoperation, data collection and testing — operated as shared Physical AI infrastructure.

Built for

The bottleneck

Models scale in compute. Physical reality does not.

Robots, environments, operators, safety and data workflows all have to exist somewhere physical. That layer is the constraint — and it is the layer we build and run.

The network

Physical AI infrastructure, where you need it.

One shared infrastructure layer, distributed across physical locations.

01LithuaniaIn development
02GermanyComing soon
03SwitzerlandComing soon
04FranceComing soon
05United KingdomComing soon
06NorwayComing soon
07UAEComing soon

How it works

Start with a requirement. Scale from there.

01Define
Agree the task, environment, embodiment and what has to be shown.
02Configure
Robots, cell, sensors, teleoperation and data workflow are set up.
03Run
Programmes run on real hardware under defined operating conditions.
04Decide
Results, failures and data are reviewed against the defined criteria.
05Scale
Expand across more tasks, robots, environments or locations.

The physical layer for Physical AI.

Models scale in compute. Physical reality does not.

Physical AI infrastructure, where you need it.

Start with a requirement. Scale from there.

Let's define the first programme.