About Us

Machine Learning for Sensor Data


Qeexo develops machine learning solutions that generate actionable insights from sensor data.
The company works with leading device OEMs and component manufacturers to power new and exciting user experiences on nearly 100 million 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.

Spun out of Carnegie Mellon University, Qeexo is venture-backed and headquartered in Mountain View, CA, with offices in Pittsburgh, Shanghai, and Beijing.

Our Founders


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Sang Won Lee

CEO, Co-Founder

Sang is the CEO of Qeexo. Sang co-founded Qeexo in 2012 after spending more than 8 years in the mobile industry. He has held roles at Samsung leading the product planning of Samsung’s highly customized mobile devices and identifying next generation technologies. Sang has also spent time as a Business Development Manager at SK Telecom, and as a Technology Program Manager at HTC. Sang graduated from POSTECH with a degree in Electrical Engineering and holds an MBA from UC Berkeley’s Haas School of Business.
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Chris Harrison

CTO, Co-Founder

Chris is CTO and Co-founder of Qeexo, as well as an Assistant Professor of Human-Computer Interaction at Carnegie Mellon University. He broadly investigates novel sensing technologies and interaction techniques, especially those that empower people to interact with “small devices in big ways.” Chris has authored more than 65 peer-reviewed papers and has been named a top 30 scientist under 30 by Forbes, a top 35 innovator under 35 by MIT Technology Review, a Young Scientist by the World Economic Forum, and one of six innovators to watch by Smithsonian. Chris has also been awarded fellowships by the Packard Foundation, Google, Qualcomm, and Microsoft Research. When not in the office, Chris can be found welding sculptures, visiting remote corners of the globe, or restoring his old house.