We build ultra-low-power chips for Physical AI, bringing real-time inference directly to sensors.

Ai Linear designs compact, programmable chips that interpret sensor signals in real time. They run inference in the device without an internet connection or cloud service. Applications include industrial motors, robots, drones, AR/VR glasses, and medical devices.

Our mission is to make distributed intelligence practical for small, power-constrained devices. We develop chips, algorithms, and software that let devices respond quickly and process raw sensor data locally.

Founded in 2020 by veteran Silicon Valley engineers, Ai Linear develops patented analog and mixed-signal circuits for sensor interfaces and machine learning.

Our chip designs combine analog signal processing, digital circuitry, and machine learning to interpret sound, vibration, and images. Depending on the architecture, inference runs digitally after conversion or directly on analog signals.

iAcoustic™ applies this approach to sound and vibration. It is designed to recognize acoustic patterns directly in a device, from changes in how a motor runs to sounds that trigger a response.