Qeexo AutoML selected as a 2021 CES Innovation Awards Honoree!
Qeexo AutoML shortlisted for the 2020 AIconics Awards!
of Machine Learning
at the Edge
Qeexo develops machine learning solutions that generate actionable insights from sensor data.START FREE TRIAL
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.
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.
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.
The Qeexo AutoML platform is a great tool to enable ML-based features without [too much engineering] effort.
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.
FEATURED PRESS Building effective IoT applications with tinyML and automated machine learning
IoT enables continuous monitoring of environments and machines using tiny sensors. Advances in sensor technologies, microcontrollers, and communication protocols made mass production of IoT platforms, with many connectivity options, possible at affordable prices. Due to the low cost of IoT hardware, sensors are being deployed on a large scale at public places, residentials, and on […]Embedded 27 January 2021
PRESS The insideBIGDATA IMPACT 50 List for Q1 2021
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine...insideBIGDATA 05 January 2021
PRESS Big Data Industry Predictions for 2021
2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021.InsideBigData 29 December 2020
PRESS LETU Machine Learning Contest Video
Click HERE to view the video Full URL to video source: https://www.kltv.com/video/2020/11/06/machine-learning-contest/KLTV 12 November 2020
Truly Smart Interactivity with Sensors and ML at the Edge
- April 15, 2021 9:10 am PST, 4:10 pm GMT, 10:10 am CST
- Chris Harrison, CTO
Come listen to our CTO, Chris Harrison, speak about enabling smart sensors at the Edge with machine learning at MEMS & Sensors Technical Congress (MSTC).
Enabling ML on Arm Cortex M0-powered IoT nodes
- April 29, 2021 12:00 pm PST, 7:00 pm GMT, 1:00 pm CST
- Josh Stone, Principal ML Engineer
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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