Qeexo develops machine learning solutions for edge that generate actionable insights from sensor data.
Qeexo AutoML is a one-click, fully-automated platform allowing customers to rapidly build machine learning solutions for highly-constrained environments using sensor data. Machine learning engines built with AutoML are lightweight and designed to run locally on Edge devices without having to go to the cloud. Delivering high performance with an incredibly small footprint, AutoML models are ideal for low-power and ultra-low-latency applications in mobile, IoT, wearables, automotive, and more. The company works with leading device OEMs and component manufacturers to power new and exciting user experiences on hundreds of millions of devices worldwide. In industries such as mobile, IoT, and automotive, there are billions of devices where computation and memory are highly constrained. Qeexo’s proprietary, low-latency, low-power models are engineered to have an incredibly small footprint – ideal for making high-accuracy predictions in these environments.
(소프트웨어 기반 차세대 터치 플랫폼 ‘핑거센스’ 개발사)
SangWon Lee (이상원)
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