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 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 STWin Now Supports DFU-Util
Starting with Qeexo AutoML 1.15.0, existing STWin users will have the option to migrate support from OpenOCD to DFU-Util to achieve flashing, data collection, and live testing through a single USB cable, omitting the STLink programming adapter. To...Qeexo 19 January 2022
BLOG Model Performance Evaluation in Qeexo AutoML
Introduction Qeexo AutoML provides feedback on trained models through tables and charts. These visualizations can be useful in determining how models trained in Qeexo AutoML should perform in live classification and can help form suggestions for how...Dr. Geoffrey Newman, Dr. Leslie Schradin III, Tina Shyuan 10 September 2021
PRESS Qeexo和意法半导体合作提供具备机器学习功能的 运动传感器 加快下一代物联网应用开发
Qeexo AutoML自动化机器学习(ML)平台的开发者Qeexo公司和服务多重电子应用领域的全球半导体领导者意法半导体 (STMicroelectronics，简称...Qeexo / STMicroelectronics 31 August 2021
Open Discussion with Accomplished Entrepreneurs
- July 27, 2021 9:05 - 9:25 am PST
- Chris Harrison, CTO
During this open discussion with Q&A, these founders will share the things they wish they’d have known before starting out, how to stay focused on your goals and top tips for improving your opportunities and achieving success.
Qeexo AutoML on Arm Cortex-M0+: Bringing tinyML to the tiniest of Arm MCUs
- January 11, 2022 8:00 am PST, 4:00 pm GMT, 10:00 am CST
- Will Levine
This talk will cover a demonstration and discussion of Qeexo’s machine learning for M0+ platforms, appropriate machine-learning applications, and the Arm Virtual Hardware Platform.
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