AIStorm Raises $16 Million In Oversubscribed Series B Funding To Commercialise AI-in-Sensor Chips

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  • In collaboration with its strategic partners, AIStorm is targeting a range of applications where its technology offers unique advantages
  • The company said that to accelerate access to key markets, AIStorm has partnered with established companies that are leaders in their respective markets

AIStorm has closed $16 million in an oversubscribed Series B financing round from strategic investors. It includes AsusTek, a manufacturer of computing equipment; Egis Technology Inc., a biometrics supplier; Knowles Corporation, a market leader in advanced micro-acoustic microphones; Meyer Corporation, a world leader in food-preparation equipment; and Senvest Management, a New York-based venture capital firm.

In collaboration with its strategic partners, AIStorm is targeting a range of applications where its technology offers unique advantages. These include imaging and audio, facial recognition, access control, behavioral tracking, people counting, face detection, object tracking, and segmentation.

David Schie, CEO of AIStorm said, “AIStorm’s approach is the only technology that allows the sensor to couple directly to popular convolutional neural networks. This allows AIStorm to deliver true, template-based ‘always-on’ at the edge—at prices that deep-submicron digital competitors cannot match for the same performance. This is a winning formula in the highly competitive IoT sector. “

Ultra-low-latency AIoT edge computing

The company said that to accelerate access to key markets, AIStorm has partnered with established companies that are leaders in their respective markets. These include AsusTek is a leader in laptops and residential IoT devices, Egis dealing in biometric sensing , Knowles Corporation dealing in advanced micro-acoustic microphones and Meyer Corporation dealing in cookware and food-processing equipment

Jonney Shih, chairman of AsusTek said, “AIStorm’s unique, charge-switched analog computing, coupled with its wise AI-in-Sensor approach, offers dramatic advantages for ultra-low power, ultra-low-latency AIoT edge computing. We look forward to an ongoing strategic collaboration.”

AIStorm’s charge-domain processing approach differs from solutions used by ARM licensees, FPGAs, or vendors of process-in-memory solutions. It said that it accepts charge directly from the sensor, such as electrons from a pixel or MEMs microphone, and multiplies that charge directly. AIStorm’s partners benefit from an AI-at-the-edge technology that is scalable, offers MAC efficiencies up to several thousand TOPS per watt, and works with conventional tool flows.

Nav Sooch, founder and chairman of Silicon Labs said, “Offering true CNN functionality and requiring a minimum of external components, AIStorm’s solutions are well positioned to dominate the AI edge space — especially in always-on, battery-operated applications such as cell phones, TV remotes, laptops, home security, and authentication,” said Nav Sooch, founder and chairman of Silicon Labs.”

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