Enabling the New Era

of Machine Learning

at the Edge

Enabling the New Era of Machine Learning at the Edge

Unleash the Power of AI at the Edge with Automated Machine Learning

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.

How can AutoML help your Organization?

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Reduce the Complexity of Machine Learning

Qeexo AutoML dramatically reduces the complexity traditionally required to build machine learning models, making it easier than ever to deploy high-accuracy AI solutions to edge environments.
Training Settings
Real-Time Training Process

Rapidly Build Machine Learning Models

Qeexo AutoML automates many of the most tedious, labor intensive, and time-consuming processes within the machine learning model development life cycle, significantly reducing the time and resources needed to build machine learning models.
Real-Time Training Process

Smaller, Faster, Better

Solutions built with Qeexo AutoML are highly optimized to have ultra-low latency, ultra-low power consumption, and an incredibly small memory footprint. These models are ideal for MCUs and other highly-constrained environments.
Smaller Faster Better
Why AutoML?

Build Lightweight Machine Learning Solutions Faster and Easier Than Ever Before

Machine Learning development workflow: Before AutoML

Before AutoML

Machine Learning development workflow: With AutoML

After AutoML
See the results of models built on AutoML