Physical AI Factory
The physical layer for Physical AI.
Shared, multi-vendor infrastructure for robot training, real-world data collection, simulation, testing and industrial validation.
Built for
The bottleneck
The next AI bottleneck is physical.
Today’s robots can perform just 2% of physical tasks in unstructured environments.
Scaling Physical AI requires robots, environments, data, testing and operations. That’s the physical layer GoLABS provides.
The network
Physical AI infrastructure, where you need it.
One shared infrastructure layer, distributed across physical locations.
- 01LithuaniaQ2 2027
- 02GermanyIn development
- 03SwitzerlandIn development
- 04United KingdomIn development
- 05FranceFuture location
- 06NorwayFuture location
- 07UAEFuture location
- 08KSAFuture location
- 09USAFuture location
How it works
Start with a requirement. Scale from there.
- 01Define
Define the task, environment, robot embodiment and programme requirements.
- 02Configure
Configure the robots, environment, sensors, teleoperation and data workflows around the programme.
- 03Run
Run the programme on real hardware under defined operating conditions.
- 04Evaluate
Review performance, failures and data against the defined criteria.
- 05Scale
Expand across tasks, robots, environments, programmes or locations.
Contact us
Let’s define your first programme.
Tell us what you’re trying to develop, test, evaluate or deploy, and what physical infrastructure you need. We’ll define the programme around your requirements.
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