Qeexo AutoML

Qeexo AutoML selected as a 2021 CES Innovation Awards Honoree!
Qeexo AutoML shortlisted for the 2020 AIconics Awards!

Enabling the New Era
of Machine Learning
at the Edge

Qeexo develops machine learning solutions that generate actionable insights from sensor data.

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TRUSTED BY LEADING BRANDS & PARTNERS AROUND THE WORLD

First automated ML platform for an Arm Cortex-M0/M0+

Supporting a wide range of machine learning algorithms, Qeexo AutoML is designed for lightweight, Cortex-M0-to-M4-class processors, yielding ultra-low power consumption and latency.

Automatically Build Machine Learning
Solutions with Sensor Data

Why Qeexo AutoML?

The Cortex-M0 and Cortex-M0+ processors pack high performance with very low power consumption, and the added support of the Qeexo AutoML platform enables application developers to easily add intelligence to small devices such as wearables, making a world of one trillion intelligent devices a closer reality.

Steve Roddy, Vice President of Product Marketing, Machine Learning Group Arm

Combined with Arduino Nano 33 IoT, users [of Qeexo AutoML] can quickly create smart IoT sensors that can perform analytics at the edge, minimize communication, and maximize battery life.

Dominic Pajak, VP Business Development Arduino

By automating the development of ML solutions for advanced industrial IoT applications such as condition monitoring and predictive maintenance, Qeexo AutoML eases the usability of our products.

Pierrick Autret, Product Marketing Engineer STMicroelectronics

The Qeexo AutoML platform is a great tool to enable ML-based features without [too much engineering] effort.

Qeexo AutoML User

The UI is clean, intuitive, and provides end-to-end model deployment support. We no longer have to fumble with various tools for collecting data, building models, and deploying solutions.

Qeexo AutoML User

Upcoming Events

Truly Smart Interactivity with Sensors and ML at the Edge

TIME: April 15, 2021 9:10 am PST, 4:10 pm GMT, 10:10 am CST

SPEAKER: Chris Harrison, CTO

DETAILS: Come listen to our CTO, Chris Harrison, speak about enabling smart sensors at the Edge with machine learning at MEMS & Sensors Technical Congress (MSTC).

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Enabling ML on Arm Cortex M0-powered IoT nodes

TIME: April 29, 2021 12:00 pm PST, 7:00 pm GMT, 1:00 pm CST

SPEAKER: Josh Stone, Principal ML Engineer

DETAILS: Models built on Qeexo AutoML are so tiny, they can run on a Cortex M0+! Josh will show you how it's done.

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