
High performance, near-zero power machine learning for battery-operated edge devices
Aspinity develops analog machine learning processors that combine ML accuracy with ultra-low power analog processing for battery-operated edge devices. Its proprietary AnalogML™ architecture enables AI-driven event detection, classification, and condition monitoring entirely within the analog domain — eliminating the need to digitize raw sensor data before inference. The AML100 and AML200 processors serve automotive, smart home, consumer wearable, and industrial IoT applications requiring always-on sensing at near-zero power. Aspinity's technology improves battery life by up to 10x compared to conventional digital approaches.
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Sep 2020
Nov 2018
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