Physical AI Infrastructure-as-a-Service
Take your models into the physical world.
GoLABS provides real robots, dedicated environments, data collection and evaluation infrastructure for developing Physical AI models and policies beyond simulation.
↓ Scroll · 7 solutionsThe bottleneck
Physical-world access doesn’t scale like compute.
Real-world Physical AI development requires robots, environments, operators, data collection and repeated physical testing. Building and operating that infrastructure internally is expensive, slow and difficult to scale.
↓ Scroll · 7 solutions01 / 07
Multi-Robot Infrastructure
Access a growing fleet across multiple embodiments, including robotic arms, quadrupeds and humanoids. Bring your own hardware where required, or use infrastructure configured around your programme.
02 / 07
Real-World Data Collection
Run managed or customer-operated teleoperation and data-collection programmes. Generate environment-, task- and embodiment-specific demonstrations, training data and correction data at scale.
03 / 07
Physical AI Twins
Create or replicate physical environments around your model, task or application, with corresponding digital representations where required. Optimise configurations before moving to physical hardware and real-world testing.
04 / 07
Testing & Evaluation
Run trained Physical AI policies on real hardware across defined tasks, environments and scenarios. Measure performance, identify sim-to-real gaps and failure cases, and generate the evaluation and correction data needed to improve the system.
05 / 07
Engineering Support & Expertise
Access robotics engineering and Physical AI expertise to configure hardware, integrate systems, run experiments and support real-world testing.
06 / 07
Commercial Test-Beds
Connect with manufacturing, logistics and industrial organisations across the EU. Validate robotics solutions in live operating environments alongside potential future customers.
07 / 07
EU Data Operations
Build secure, end-to-end data processing and storage workflows using EU-based infrastructure providers, designed around European data protection, cybersecurity and AI governance requirements.
How it works
Start with a requirement. Scale from there.
- 01Define
Define the system, task, starting point, target environment and success criteria.
- 02Configure
Configure the robots, environment, sensors, teleoperation and data workflows.
- 03Run
Run the programme on real hardware under defined operating conditions.
- 04Evaluate
Measure performance, identify failures and generate correction data.
- 05Scale
Extend across tasks, embodiments, environments and locations.
Contact us
Let’s define your first programme.
Tell us what you’re testing, what it needs to do and where it ultimately needs to operate.
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