— Physicore Environment Network
MAKE YOUR OPERATING ENVIRONMENT AVAILABLE TO PHYSICAL AI.
Physicore works with organisations that can provide controlled access to real operating environments for Physical AI testing, evaluation, data collection, deployment and improvement programmes.
Participation can range from a defined test window at one facility to recurring access across multiple sites, depending on the programme and the operational requirements of the environment.
ENVIRONMENTS WE WORK ACROSS
Manufacturing
Factories, production lines, assembly environments and industrial operations.
Warehousing & logistics
Fulfilment centres, distribution sites, yards and logistics operations.
Construction
Active construction environments and controlled project sites.
Agriculture
Farms, controlled agricultural environments and food-production operations.
Energy & industry
Utilities, energy infrastructure, processing facilities, mining and heavy industrial environments.
Healthcare
Hospitals, care environments and other controlled healthcare settings.
Retail & hospitality
Stores, commercial environments, hospitality operations and customer-facing spaces.
Transport & mobility
Transport infrastructure, depots, mobility environments and related operating sites.
Built environment
Commercial property, residential portfolios and other managed physical environments.
Other specialist environments
Physical operating environments not captured above may also be submitted for review.
WHAT AN ENVIRONMENT MAY SUPPORT
Real-world testing
Evaluate behaviour under genuine operating conditions.
Data collection
Capture relevant physical interaction, sensor and operational data where permissions allow.
Failure & edge-case evaluation
Expose systems to conditions that reveal performance boundaries.
Human-robot interaction
Evaluate systems operating around people and existing workflows.
Pilot deployment
Support controlled introduction of Physical AI into a real operation.
Multi-site validation
Test whether capability transfers across locations and operating conditions.
Ongoing deployment learning
Support repeated evaluation and improvement after deployment where appropriate.
Programme activity is determined by the operational characteristics, permissions and constraints of each environment.
— Registration