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
March 2023
Press Releases
New AML100 Application Board Integrates with Renesas Quick-Connect IoT Platform to Enable Near-Zero Always-on System Power
The new AB2 Application Board enables rapid prototyping of the AML100 with Renesas Quick-Connect IoT platforms and will be demonstrated at Embedded World.
March 2023
Events
Meet with Aspinity at Embedded World 2023
The Aspinity team is heading to Nuremberg, Germany from March 14-16 for Embedded World 2023. Schedule a meeting with us today and see our latest partner demos.
January 2023
In the News
Achieving Unprecedented Power Savings with Analog ML
As part of the EE Times Analog Everywhere Trends Series, Aspinity CEO Tom Doyle talks about saving always-on product power with analogML.