Aspinity raises funds for analog ML roadmap, expansion
The latest round brings the total raised by the company to more than $8.8 million and was led by Anzu Partners. Other participating investors in this round include Amazon’s Alexa Fund, Birchmere Ventures, Mountain State Capital and Riverfront Ventures.
Aspinity uses analog machine learning to enable an edge architecture to reduce data handling and power consumption in always-on, battery-powered sensing devices.
Tom Doyle, founder and CEO, pointed out that it is the third round in which Amazon has invested in the company. The company will use the money to expand the sales and marketing both in the US and the far-east, Doyle said. It will also be used to develop the next processor in Aspinity’s product roadmap and to scale up production of the initial product.
The expanded team will be selling and supporting Aspinity’s RAMP chip (reconfigurable analog modular processor), which is built in a 0.35micron manufacturing process from foundry TSMC.
A good example of the use of its RAMP chip (reconfigurable analog modular processor) is in wake-word sensing. The RAMP remains on and can identify characteristics of speech and only then wake up the rest of the system to process the contents of a rolling buffer to determine if a command word has been uttered.
The approach is also applicable to break-in detection, industrial machine health monitoring, and wearable health monitoring in consumer, industrial and biomedical markets, the company states.
“Our architecture [is] 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,” said Doyle, in a statement.
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