Engineering Tech

Edge Impulse Raises $15 Million in Series A to Enable a Data-Driven Engineering Revolution with Machine Learning

Edge Impulse, the world's leading development platform for machine learning (ML) on edge devices, announced today the completion of a $15 million Series A investment round led by Canaan Partners, with participation from Acrew Capital, Fika Ventures, Momenta Ventures, and Knollwood Investment Advisory. This funding will help the company achieve its goal of democratizing machine learning for millions of developers and engineers working on billions of edge devices.

Due to power, bandwidth, and cost constraints, 99% of sensor data is currently unused. Edge Impulse allows this data to be analyzed effectively using edge-optimized machine learning, resulting in smarter products and enhanced privacy. Developers and engineers will use the Edge Impulse framework to build useful datasets, then quickly develop and deploy custom machine learning models to any edge system, from battery-powered sensors to Linux-based GPUs capable of operating actuating pneumatics and robotic arms.

With a growing list of silicon partners including Arm, Nordic Semiconductor, NVIDIA, Silicon Labs, STMicroelectronics, Microchip, Arduino, Raspberry Pi, Himax, and Eta Compute, the company's platform is trusted by thousands of developers and businesses looking to utilize sensor data to bring intelligence to the next generation of smart devices. To date, the platform has produced over 23,000 projects and 26 million branded data samples across a variety of verticals, including industrial, infrastructure, wearables, and wildlife conservation, with a global developer group on track to hit 100,000 by 2022.

Machine learning allows for a data-driven engineering approach to solving problems that can have an impact in all industries. Using machine learning for data-driven engineering in the Internet of Things will not only create better systems but will also give life to a whole new class of experiences. Surprisingly, thanks to platforms like Edge Impulse, it would become a lot easier to modify, upgrade, and handle. IoT will eventually live up to its original goals and turn consumer products, automotive, agriculture, and engineering from the ground up, thanks to smarter brains and learning capabilities on devices.

About Edge Impulse
Edge Impulse is the leading embedded machine learning software platform, with over 23,000 ML projects in use around the world. We're on a journey to have the best machine learning development experience on edge devices for sensors, audio, and computer vision at scale. We make highly optimized ML deployable to a wide range of hardware from MCUs to CPUs, from getting started in under five minutes to MLOps in production.

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