Enabling Power Intelligent Products for an Energy Efficient Future
Achieve the lowest always-on AI system power with pure, reliable analog processing
>95%
Lower Always-On
AI System Power
20x
Longer Battery Life
100%
Elimination of Irrelevant
Data Processing
How it Works
Learn how Aspinity's unique and patented analogML™ core enables an ultra-low power system-level solution for always-on edge processing applications.
The New Era of Power Intelligence
Aspinity's analogML core provides new value for existing products and unlocks new applications
Less Data Transmitted
Eliminating irrelevant data before digitization reduces data transmission, storage, and high-cost cloud compute
Insight Driven Systems
Signal processing at the extreme edge enables insight driven decision making versus simple data-gathering
Flexibility by Design
Application specific parameters and functionality are programmable in software
Feature Packing
Ultra-low power analog signal processing allows for additional features at no cost to battery life
Solutions
Voice Activity Detection
Voice detection and system wake-up with preroll support for battery-operated voice enabled devices
Glass Break Detection
Ultra-low power glass break and other acoustic event detection for home security and automation
Condition Monitoring
Vibration and ultrasonic fault detection for asset health monitoring
News
October 2022
Aspinity Blog
How to Enhance Smart Home Monitoring Using Existing Security System Components
Learn how the AML100 enables new monitoring capabilities for home security systems without requiring new system components, or draining the batteries of existing ones.
September 2022
In the News
Aspinity is a Finalist
The Pittsburgh Technology Council's Tech 50 Awards honors technology innovation in Southwestern Pennsylvania. Aspinity's AML100 made the finals in the Solutions Provider/Innovative Tech category.
September 2022
In the News
Rethinking Machine Learning for Power
Editor Brian Bailey talks with Aspinity as he explore the "fundamental rethinking" of machine learning in intelligent edge devices.