Empowering Sensors
with Intelligence
EarSense named CES Innovation
Awards Honoree & MWC Global
Awards Nominee
Machine Learning
with Sensor Data
Actionable Insights from Sensor Data
Sensors are becoming ubiquitous – in your car, home, and mobile devices, for example. Hundreds of billions of sensors are constantly observing and gathering data from their environments, but the data is useless without intelligent analysis. Qeexo’s proprietary machine learning algorithms leverage this data to discover knowledge, make predictions, and draw actionable insights.
Low-latency, Small Footprint Machine Learning
Qeexo develops machine learning solutions for highly constrained environments. Small, but powerful, Qeexo’s machine learning engines are lightweight, delivering high performance with an incredibly small footprint. This allows our models to run locally on devices without having to go to the cloud, making it ideal for low-latency applications in mobile, IoT, wearables, and automotive.
Intelligent User Interaction
Qeexo’s machine learning technology makes devices more intelligent, more powerful, and easier to use. Through high-accuracy predictions for touch inputs, hand gestures, and more, Qeexo powers advanced user interactions and provides alternatives to expensive components for mobile and other devices.
Latest News
Exploring Embedded Machine Learning
In 1943 neurophysiologist Warren McCulloch and mathematician Walter Pitts wrote a paper on neurons and how they work. A model was created using an electrical circuit and the neural network came into b
03 December, 2019Qeexo Launches AutoML, a Fully Automated Machine Learning Platform for Sensor Data at the Edge
Using Qeexo AutoML, companies can launch machine learning on embedded devices and begin analyzing data in a few hours Oct 7, 2019; Mountain View–Qeexo today announces the launch of its AutoML product,
07 October, 2019
Partnerships
