Aspinity raises $5.3M Series A funding to stop battery drain and reduce power consumption in always-on IoT and IIoT devices

Always-on smart sensing products such as IoT and IIoT devices, smart speakers, voice-activated TV remotes, and hearables, consume a large amount of power and eventually drain batteries. These devices are continuously consuming power while waiting for triggers such as voice to wake-up a voice-controlled TV remote or wireless earbuds, the sound of glass breaking to activate a smart home security system, or a change in vibrational frequency to provide early warning of equipment malfunction on the factory floor.

While such smart devices are growing in popularity, e.g., SAR Insight & Consulting forecasts an installed base of 1 billion voice assistant devices in use by 2023, they are prone to short battery life because of the power required to continuously digitize and process all incoming sensor data, relevant or not. Enter Aspinity, a Pittsburgh, PA-based chip tech startup and a pioneer in ultra-low-power analog machine learning processors that produces neuromorphic analog chip that dramatically reduces power consumption in always-on smart sensing products and improves the battery life.

Aspinity’s ultra-low-power, analog machine learning RAMPTM chip is transforming the design of always-on sensing devices that run on battery. The company’s unique technology is based on the founding technical team’s expertise in neuromorphic and computational electronics and introduces a completely new, bio-inspired approach to always-on sensing that eliminates the power-wasting processing of irrelevant data.

Today, Aspinity announced it has raised $5.3 million in Series A funding to accelerate Aspinity’s product roadmap, enhance the technical and partner support teams, and scale volume production to meet customer demand. In conjunction with the funding, Aspinity also announced the expansion of its board of directors with the appointment of Dr. Jimmy Kan, principal at Anzu Partners.

Founded in 2015 by CEO Tom Doyle, Aspinity is transforming the design of always-on sensing devices that run on the battery through the world’s first ultra-low-power, analog machine learning RAMP chip. With its patented technology, Aspinity continues to develop solutions that support the company’s mission to offer power- and data-efficient solutions for voice/sound wake-up, industrial machine health monitoring, wearable health monitoring, and other applications in IoT, consumer, industrial and biomedical markets.

“Aspinity’s mission is to help system designers solve a major pain point that users face on a daily basis — the necessity of recharging or replacing batteries way too frequently in their always-listening devices,” said Tom Doyle, founder, and CEO, Aspinity.

Doyle added, “Our new investment will allow us to speed deployment of our first neuromorphic analog-processing chip, which completely changes the way that incoming sensor data are handled. Instead of a system that immediately digitizes all data for further analysis, our chip uses near-zero power to analyze the sensor data while it is still in its native analog format, only waking the digital system when important data are detected. This makes our architecture a game-changer for manufacturers who want to make smart always-on devices with batteries that last up to 10 times longer. Just imagine wireless earbuds that last for months instead of a day on a single charge or a voice-activated TV remote that runs for years without battery replacement.”

“Until very recently, always-on sensing devices were generally too power-hungry, too data-intensive, and too costly to run on battery,” said Kan. “Aspinity is changing that paradigm with the first commercially available reconfigurable analog machine learning processors that intelligently focus the power resources of compact and connected always-on devices on data that really matter. We are excited to support them in transforming the next generation of smart IoT devices.”

“In 2017, we welcomed Aspinity to the inaugural Alexa Accelerator program, powered by Techstars, which was created to advance Alexa in voice-enabled devices,” said Paul Bernard, director, Amazon Alexa Fund. “We joined their 2018 seed round and are investing again today to help Aspinity advance its distinctive method for improving the battery life in portable Alexa devices.”