At AI Linear, we aim to empower autonomous localized intelligence with ultra-low-power, software-configurable AI inference (Analog & Digital) Chips for sensors in systems that operate with little (if necessary) to no cloud connectivity

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.