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Qeexo TRY Menu Open ML Platform ML Consulting Model Converter Applications Show sub menu Industrial Smart Home Medical Smartphone Automotive Others Help Center Show sub menu Documentation Videos FAQs Supported Hardware Example Projects Blog Pricing LAUNCH TRY TRY Enabling the New Era of Machine Learning at the Edge Qeexo develops machine learning solutions that generate actionable insights from sensor data. TRY QEEXO AutoML FREE 2019 CES Innovation Awards Honoree 2019 MWC Global Mobile Awards Sortlisted 2020 AIconics Awards Shortlisted 2021 CES Innovation Awards Honoree 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 Industrial Smart Home Medical Smartphone Automotive Others 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. Steve Roddy, Vice President of Product Marketing, Machine Learning Group Arm 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. Dominic Pajak, VP Business Development Arduino 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. Pierrick Autret, Product Marketing Engineer STMicroelectronics The Qeexo AutoML platform is a great tool to enable ML-based features without [too much engineering] effort. Qeexo AutoML User 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. Qeexo AutoML User prev next Trending Articles 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 VIEW ALL ARTICLES Past Events ST Technology Tour Boston TIME Nov 2nd, 2022 @ 9 AM EST SPEAKER Stephanie Pavlick DETAILS 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. REPLAY Arm Tech Talks TIME March 7, 2023 8:00 am PST, 4:00 pm GMT, 10:00 am CST SPEAKER Ho-Gyun Choi, Full Stack Software Engineer DETAILS 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. REPLAY VIEW ALL EVENTS Try Qeexo AutoML Register for a free evaluation or other SaaS options. START FREE TRIAL Contact Us Interested in leveraging sensor data from your devices? We’re happy to help! Submit your information and we will get in touch with you. Please enable JavaScript inHardware Example Projects COMPANY About Press Careers Upcoming Events Contact Us LEGAL Cookie Policy Privacy Policy Terms of Use Cookie settings © 2024 Copyright...