Our Goal is to Enable ‘Physical Ai‘

At AI Linear, we aim to empower physical Ai , founded on autonomous localized intelligence,  with ultra-low-power, software-configurable AI inference (Analog & Digital) Chips near sensors in systems having  zero dependency on the cloud

Our vision is to reduce or eliminate reliance on cloud connectivity, enabling intelligent, inherently cybersecure, and private computation on autonomous devices (e.g., micro-robots, drones, smart glasses, and translator earbuds).  Our goal is to drive the “Distributed Intelligence” market with software configurable AI inference chips and end-to-end solutions, delivering low-power, low-latency performance for smart sensing applications.

Founded in 2020 by seasoned engineers in Silicon Valley, Ai Linear is built on a robust portfolio of over 35 U.S. patents, covering essential building blocks for analog and mixed-mode, low-power machine-learning technologies.  AI Linear’s trade secrets include proprietary algorithms and specialized software designed to program (local) inference AI engines (near/on sensors) for targeted domains. We envision Distributed Intelligence everywhere, embedded “Asleep-Yet-Aware” in sensors that quietly support people, environments, and industries, enabling enhanced safety, health, efficiency, and capabilities previously unimaginable.

To realize this vision, we continuously innovate in programmable, system-on-a-chip technology that combines analog, digital, algorithmic, and software intelligence. Our solutions are designed to provide context-specific insights for various sensor-driven applications—including sound, wave, vibration, and image processing—before data is digitized or transmitted.

Generally speaking, AI in the cloud belongs largely to the past. The next uncharted frontier is making the physical world smarter by breaking free from cloud dependency. This vision centers on creating localized AI that is low-latency, secure, private, safe, and cost-effective, while being simple to deploy. Transforming basic, low-cost sensors into intelligent, highly accurate devices with minimal power consumption is the key to unlocking this potential. These smart sensors must integrate seamlessly into the physical world, enabling large-scale deployment with zero reliance on the cloud.