Physical AINative Infrastructure
Every robot, drone, and autonomous vehicle today runs on borrowed parts. MCT is building the missing foundation — from first principles.
Manifesto
Physical AIneeds its own "NVIDIA"— that position is still empty today
— Alex Li · Founder & CEO, MCT
MoreAbout MCTOur Thesis
The physical world is not a projection of the digital one
Language models learn symbolic logic. The physical world runs on energy, mass, and causality. This is not a difference of degree — it is a difference of origin.
All digital AI running today — writing text, generating images, holding conversations — operates in symbolic space. When AI steps out from behind the screen into the physical world, the underlying infrastructure it needs changes fundamentally.
The physical world has no 'close enough.' A robot entering a factory: one centimeter off is an accident. An eVTOL flying over a city: positioning failure is a disaster. Infrastructure designed for digital AI has been mismatched to the physical world from day one.
"This trillion-dollar sector doesn't even have its own native infrastructure yet."
The standardization window for Physical AI infrastructure is opening — first movers define the rules.
MCT is committed to becomingPhysical AI-native infrastructure
Starting from real-world data, we continuously refine the technology chain — from perception, computation, data, simulation and models to execution — driving Physical AI from 'capable' to 'reliable.'
·Accumulate real-world data
Continuously building data capabilities across hand motion, whole-body posture, vision, positioning, and force/haptic feedback from the real physical world.
·Validate native chip direction
Advancing R&D on perception and compute chips, validating multi-sensor fusion, high-precision synchronization, low power consumption, and real-time processing.
·Build platform capabilities
Through co-creation with lead customers and validation across representative scenarios, establishing standardized products, data services, and simulation platform capabilities.
Different carriers, one constant foundation
Vehicles, robots, aerial vehicles — every physical intelligence system must answer the same set of questions: where am I, what is my attitude, where am I going.
Not a promise. Already real.
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The foundation for Physical AI is being built
Whether you're developing the brain and body of robots or looking for an infrastructure partner to co-build with, let's talk.


