Industry-Leading Solution for Smart Wirelessly Connected ML Sensing Devices

Ultra-Small Footprint, Ultra-Low Power and Ultra-Efficient ML Models for Extreme Edge IoT Applications


Silicon Labs and SensiML have partnered to deliver rapid development of TinyML smart IoT sensing applications on Silicon Labs' EFM32 MCUs and EFR32 wireless SoCs. Using the Silicon Labs Thunderboard Sense 2 IoT Development Starter Kit, the SensiML Analytics Toolkit AI/ML development software enables developers to quickly and easily construct smart sensor processing code that runs at the extreme IoT sensor endpoint.

Silicon Labs’ Thunderboard Sense 2 is a compact, low-power, and sensor-rich development platform based on the EFR32 wireless system-on-chip (SoC), making it an ideal tool for developing battery-operated wirelessly connected edge IoT devices. The SensiML Analytics Toolkit accelerates the development of optimized AI sensor models for intelligent endpoints allowing meaningful insight to be generated locally in real-time at the embedded device.

  • Reduced development time and rapid prototyping of innovative smart IoT product concepts
  • Ability to add AI/ML functionality to products without in-depth data science experience or expertise
  • Faster time-to-market with more intelligent IoT devices
  • High AI modeling confidence from an end-to-end workflow that includes powerful dataset annotation, automated data labeling, full model transparency, and flexibility to tune or modify all aspects of the code
  • AI modeling workflows that integrate seamlessly into the Simplicity Studio tool suite

“Leveraging our industry-leading platforms with SensiML tools provides developers with an open, transparent, and complete end-to-end development solution for IoT devices at the edge. Together, we remove the barriers to implementing AI/ML, simplify the development process and enable a focus on innovation for our customers.”

Matt Saunders, Vice President of IoT at Silicon Labs