MCT · Physical AI-Native Infrastructure

Physical AINative Infrastructure

ForEmbodied AI

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 MCT

Our 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."
— Alex Li · Founder & CEO, MCT

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.'

01Build the data foundation
02Physical AI native chips
03Platform & ecosystem
Read our full strategy
01

·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.

02

·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.

03

·Build platform capabilities

Through co-creation with lead customers and validation across representative scenarios, establishing standardized products, data services, and simulation platform capabilities.

Not a promise. Already real.

1M+
Vehicles deployed
5B+km
Real-world driving distance
ASIL-D
Highest automotive functional safety grade
21months
Concept to mass production — industry record

Trusted by Industry Leaders

Li Auto
Leapmotor
Pony.ai
Neolix
Bosch
Meituan Autonomous
Murata
STMicroelectronics

Backed by Top-Tier Investors

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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.