Qualcomm acquires Edge Impulse
Created on March 10|Last edited on March 10
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Edge Impulse has officially announced an agreement to join Qualcomm Technologies, Inc., marking a significant step forward for the company. The acquisition, subject to customary closing conditions, will allow Edge Impulse to scale its technology and expand its impact while maintaining its mission and team. This partnership aligns with both companies' goals of making AI at the edge more accessible and powerful.
The Journey of Edge Impulse
Founded in 2019 by Jan Jongboom and Zach Shelby, Edge Impulse was created to democratize machine learning on edge devices. With microcontrollers becoming powerful enough to run AI models directly onboard, the company saw an opportunity to move AI from the cloud to the edge. However, building, optimizing, and deploying these models remained a challenge. Edge Impulse addressed this gap by developing an end-to-end platform that simplifies the edge AI workflow.
Edge Impulse’s platform automates data collection, simplifies model training, and provides advanced optimization tools, making it easier for developers to deploy models to hardware, from MCUs to CPUs, GPUs, and NPUs. Over time, the platform has gained traction with major corporations, startups, and a growing community of 170,000 developers.
Qualcomm’s Role in Edge AI Innovation
Qualcomm Technologies has been a leader in connectivity, wireless communications, and semiconductor solutions for decades. Its work in mobile, IoT, automotive, and industrial applications has shaped the industry, and its Qualcomm Dragonwing platforms are helping bring intelligence to the edge. By integrating Edge Impulse’s technology, Qualcomm Technologies aims to further enhance AI inferencing, computer vision, and processing capabilities for edge devices.
What This Means for Qualcomm Technologies
Edge Impulse’s platform will strengthen Qualcomm Technologies’ IoT strategy by providing an intuitive edge AI workflow. Developers will benefit from an easier process to build, test, and deploy AI models on Qualcomm hardware, including integrations with tools like the Qualcomm AI Hub. The collaboration aims to accelerate innovation in enterprise and industrial IoT applications.
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