Qeexo AutoML is a fully-automated, end-to-end machine learning (ML) platform that builds lightweight machine learning solutions (tinyML) running locally on constrained environments at the Edge. It augments the user experience and applicability of products like the RA Family of 32-bit MCUs, adding intelligence with AI.


  • Supports Arm® Cortex™- M0 to M4 class MCUs like Renesas Synergy S5D9 and Renesas RA6M3
  • Enables a wide range of machine learning methods, including: GBM, XGBoost, Random Forest, Logistic Regression, CNN, RNN, ANN, Local Outlier Factor, and Isolation Forest
  • Libraries generated from Qeexo AutoML are optimized for constrained endpoint device architectures: low latency, low power consumption, small footprint
  • Automates tedious and repetitive machine learning processes – saves time/cost to production and eliminates room for error
  • Zero coding necessary; machine learning expertise not required


  • Wearables
  • Industrial
  • Mobile
  • IoT
  • Automotive
  • Smart home/appliances


Title language Type Format File Size Date
User Guides & Manuals
Qeexo AutoML Installation Guide for MAC* (AWS Version) Guide PDF 4.05 MB
Qeexo AutoML Installation Guide for Windows* (AWS Version) Guide PDF 2.54 MB
Qeexo AutoML User Guide Manual PDF 4.08 MB
Qeexo AutoML for Embedded Devices Product Brief PDF 341 KB

News & Additional Resources

Type Date Sort ascending
IoT Sensor Board with Machine Learning & Bluetooth® Low Energy External Link Nov 11, 2020
Qeexo AutoML External Link Jun 22, 2020
Renesas RA MCU Family External Link Jun 22, 2020