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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.

  1. 01Define

    Define the task, environment, robot embodiment and programme requirements.

  2. 02Configure

    Configure the robots, environment, sensors, teleoperation and data workflows around the programme.

  3. 03Run

    Run the programme on real hardware under defined operating conditions.

  4. 04Evaluate

    Review performance, failures and data against the defined criteria.

  5. 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.

Note: Please do not use this form to inquire about open roles.

Describe what you’re looking to develop, test, evaluate or deploy, including the robot, task, environment or infrastructure requirements where relevant.

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