What is Physical AI
Physical AI is AI that operates in and responds to the physical world — in real time, at the point of sensing, without relying on the cloud.
Unlike conventional AI that processes data in a data center after the fact, Physical AI makes decisions at the sensor edge: inside a robot on the factory floor, on a drone in flight, aboard a spacecraft, or within an autonomous vehicle.
Market Strip
$378B
Autonomous Vehicle Market,
Projected by 2035
(Allied Market Research)
$58B
Commercial Drone Market,
Projected by 2030
(MarketsandMarkets)
$269B
Edge AI Market,
Projected by 2031
(Precedence Research)
Why Akida™ for Physical AI
Akida is Purpose-Built for Physical AI
Event-driven, capable of on-device learning, and operational at subwatt. It brings cognition to machines that must act in milliseconds — with or without a network connection.
Where Physical AI Deploys
Robotics & Industrial
Real-time perception for robots, smart factories, defect detection, and adaptive automation at the edge.
Autonomous Systems
Low-latency sensor fusion for ADAS, autonomous platforms, AGV/AMR fleets, and mobile robotics.
Drone, UAS & Defense
On-vehicle detection, radar classification, and RF processing for SWaP-C-constrained platforms.
Space & Aerospace
Onboard AI autonomy for satellites and spacecraft where cloud connectivity is unavailable.
The Physical AI Stack
Explore Akida products and the use cases they enable
Physical AI in the Field
BrainChip’s Akida platform is deployed and integrated by a growing ecosystem
of aerospace, defense, and autonomous systems leaders — across some of
the most demanding real-world environments on earth and beyond.
