Use 10x Less Power for Always-Listening Voice-First

Finally – an intelligent voice wake-up solution that really listens for what’s important

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Process 100x Less Data For Vibration Monitoring

Develop smaller, lower-power predictive and preventative maintenance systems

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Analog Machine Learning for Always-on Edge Devices

Save battery power by eliminating the digitization and processing of irrelevant sensor data

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10

Reduction in power consumption

100

Elimination of irrelevant data processing

100

Less Data to Handle

How It Works

Discover how Aspinity's ultra-low power RAMP analog processing chip can dramatically reduce power requirements for your always-listening voice wake-up application.

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/Voice-Wake-Up

Voice

Always-listening voice wake-up with preroll support for battery-operated voice-first devices

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/acoustic-event-detection

Audio Events

Glass break, alarm, and other acoustic event detection for IoT and security applications

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/industrial-vibration-monitoring

Vibration

Vibration monitoring for preventative and predictive maintenance

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Talking Intelligent Sensing & TinyML with Tom Doyle
June 2020 In the News

Talking Intelligent Sensing & TinyML with Tom Doyle

Azafran INSIGHTS podcast host Matt Bauer gets close to the edge and talks TinyML with Aspinity CEO Tom Doyle

Aspinity and Infineon partner to accelerate development of intelligent sensing products with longer lasting batteries
May 2020 Press Releases

Aspinity and Infineon partner to accelerate development of intelligent sensing products with longer lasting batteries

Aspinity and Infineon partner to accelerate development of intelligent sensing products with longer lasting batteries.

Ramping Up Development of Ultra-Low Power Always-On Sensing
May 2020 In the News

Ramping Up Development of Ultra-Low Power Always-On Sensing

Anne-Françoise Pelé of EETimes Europe talks with Aspinity CEO Tom Doyle about the benefits of an analyze-first architecture for battery-operated always-on devices

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