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 Qeexo and STMicroelectronics Speed Development of Next-Gen IoT Applications with Machine-Learning Capable Motion Sensors
Qeexo and STMicroelectronics Speed Development of Next-Gen IoT Applications with Machine-Learning Capable Motion Sensors Mountain View, CA and Geneva, Switzerland, July 7, 2021 Qeexo, developer of the Qeexo AutoML automated machine-learning (ML) platform that accelerates the development of tinyML models for the Edge, and STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, […]Qeexo / STMicroelectronics 07 July 2021
BLOG Cross-Platform Swift at Scale
The dream of every developer is to be able to write code once and deploy everywhere. This allows for smaller teams to deploy more reliable products to a wider variety of users. Unfortunately, due to the numerous different operating systems with...Alex Taffe 14 July 2021
PRESS IoT News of the Week for July 9, 2021
Anyone can now build smarter sensors using Qeexo and STMicroelectronics sensors: This is a cool example of ML at the edge.Stacey on IOT 12 July 2021
PRESS Qeexo adds AutoML to STMicro MLC sensors to speed tinyML, IIoT development
Machine learning developer Qeexo and semiconductor STMicroelectronics have teamed up to allow STMicro’s machine learning core sensors to leverage Qeexo’s AutoML automated machine learning platform that accelerates the development of tinyML...Fierce Electronics 08 July 2021
Sensors Converge Expo & Conference
- September 22-23, 2021 10:00 am - 4:00 pm PST
We hope you’re as excited as we are to return to the live trade show floor! Come join Qeexo at booth #738 to see our latest tinyML demos, featuring Qeexo AutoML with ST MLC sensors.
“Running tinyML on Sensors” at Sensors Converge
- September 22, 2021 11:30 am - 12:00 pm PST
- Sang Won Lee, CEO
In this talk, we will discuss the benefits and challenges of tinyML, its industry trends and applications, how to scale tinyML solutions, and share our latest research and technologies in machine learning using sensor data.
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