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 BLOG Revolutionizing Motor Health: A Glimpse into Condition-Based Monitoring with Qeexo AutoML
In the sprawling world of industries powered by machines and motors, the quest for effective condition-based monitoring has been relentless. The intricacies of maintaining optimal motor conditions within vast and dynamic environments have long presented a challenge. Enter the transformative solution: Effective Motor Condition-Based Monitoring, developed and scalable from Qeexo AutoML to ensure motor health. This blog delves into the innovation, technology, and impact behind this simple, yet highly effective approach to motor maintenance.Shaolin Kataria 01 September 2023
BLOG Qeexo AutoML Version 1.20.0 New Feature Introduction
In this article, we are going to introduce you some of the latest and greatest new features and improvements released in Qeexo AutoML 1.20.0.Cora Zhang 07 April 2023
PRESS TDK announces availability of automated ML Platform Integration for Arm® Keil® MDK
March 14, 2023 TDK Corporation (TSE 6762) announced the availability of the first automated ML platform integration for Arm Keil MDK from Qeexo, a TDK group company. The Qeexo AutoML platform supports a wide range of machine learning algorithms and...TDK 14 March 2023
BLOG Qeexo AutoML 1.19.0 New Feature Introduction
In this article, we are going to introduce you some of the latest and greatest features and improvements released in Qeexo AutoML 1.19.0. Feature 1 – ‘FILTER ENVIRONMENT’ feature, DATA page ‘FILTER ENVIRONMENT’ enables you to filter your...Cora Zhang 18 January 2023
ST Technology Tour Boston
- Nov 2nd, 2022 @ 9 AM EST
- Stephanie Pavlick
In this session we will show you how to use Qeexo AutoML to easily collect data, train models, and deploy working models to ST Machine Learning Core (MLC) without writing any code.
Arm Tech Talks
- March 7, 2023 8:00 am PST, 4:00 pm GMT, 10:00 am CST
- Ho-Gyun Choi, Full Stack Software Engineer
We will demonstrate the quick development of a specific noise detection machine learning model and evaluation of that model using the no-code Qeexo AutoML flow.
Register for a free evaluation or other SaaS options.
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