of Machine Learning
at the Edge
Qeexo develops machine learning solutions that generate actionable insights from sensor data.TRY QEEXOAutoMLFREE
2019 CES Innovation Awards
2019 MWC Global Mobile Awards
2020 AIconics Awards
2021 CES Innovation Awards
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 Qeexo, and Bosch Enable Developers to Quickly Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors
Machine learning algorithms created using Qeexo’s AutoML can now be deployed on Arduino Nicla Sense ME with Bosch BHI260AP and BME688 sensors May 25, 2022 Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, today announced that machine learning algorithms created using Qeexo’s AutoML can now be […]Qeexo / Bosch Sensortec GmbH 26 May 2022
BLOG A Step by Step Guide to Robot Arm Demo
In this article: Prerequisites Data Collection Data Segmentation Building Model Model Performance & Live Classification In industrial environments, different machine operation behaviors can be detected using machine learning models in...Cora Zhang 30 May 2022
BLOG AI In the Industry
It is not recent that AI has begun to find a significant place in our industry and influence it. However, it is undeniable that the development of underlying hardware technologies such as GPUs and CPUs has accelerated the growth of AI and the speed...Tim Kim 23 February 2022
BLOG Integrating AutoML with front-end Apps
A demo Qeexo has shown at various trade shows that always gets a great response is what we call our Smart Shipping demo that uses a classifier trained in Qeexo AutoML running on a STMicro STWINKT1B device that is able to detect and display what is...Mike Sobczak, Sr Software Engineer 16 February 2022
Arm Tech Talk
- May 3, 2022
- Elias Fallon
Building custom keyword detection models for Arm Virtual Hardware with Qeexo AutoML
- March 29th - 30th, 2022
- Elias Fallon
Optimizing AutoML for the tinyML Future
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