Arduino Nano 33 BLE Sense
Bring the power of AI to your pocket with Arduino’s tiniest form factor. The 33 BLE Sense is an evolution of the traditional Arduino Nano, featuring the nRF52840 at 64 MHz.
Broad IoT Embedded Edge Platform Support
SensiML supports multiple levels of platform integration ranging from directly flashable binaries for quick test cycles during development, to callable libraries, and full, standalone C source code models. SensiML maintains the broadest array of supported boards with continual additions of the latest ML-optimized MCUs and SoCs. To support bespoke product designs and custom boards, SensiML provides a fully documented embedded SDK, simple interface specification for raw data collection from custom sensors, and numerous open-source reference example applications.
Plug-and-Play ML Prototyping for These Industry Leading IoT Dev Kits
Arduino Nicla Sense ME
The versatile Arduino Nicla Sense ME featuring Bosch Sensortec sensors is a robust development board that enables users to develop smart sensing applications.
Future Electronics Compagno Board for STWIN
Compagno is a multi-sensor wireless edge node evaluation board designed by Future Electronics as a companion board to work with the STMicroelectronics STWIN wireless industrial node development kit.
Infineon PSoC™ 6 Wi-Fi BT Pioneer Kit
Features the PSoC™ 62 dual-core MCU, with an Arm Cortex-M4 and Arm Cortex-M0+, 1MB of Flash, 288KB of SRAM, a PDM-PCM digital microphone interface, and industry-leading capacitive-sensing with CAPSENSE™.
M5Stack M5StickC PLUS Dev Kit
Powered by the ESP32-PICO-D4, the M5StickC PLUS integrates Wi-Fi, LCD, IMU, mic, IR, buttons, and extensible I/O in a tiny, feature-packed device to speed up IoT prototyping efforts.
Microchip Technology EV75S95A SAM-IoT WG
Microchip Technology's EV75S95A SAM-IoT WG development board features the SAMD21G18 Arm Cortex-M0+ based 32-bit microcontroller, ideal for a wide range of home automation, consumer, metering, and industrial applications.
Microchip Technology AVR128DA48 Curiosity Nano
The AVR128DA48 Curiosity Nano Evaluation Kit is a hardware platform to evaluate AVR DA Family 8-bit microcontrollers and is supported by both MPLAB X IDE and SensiML ML.
Microchip Technology PIC-IoT WG Development Board
The PIC-IoT WG Development Board combines a powerful 16-bit PIC24FJ128GA705 MCU, an ATECC608A CryptoAuthentication™ secure element IC and a Wi-Fi® network controller. The board is supported by both MPLAB X IDE and SensiML ML.
Nordic Semiconductor Thingy:52
The Nordic Thingy:52™ is an easy-to-use prototyping platform built around the nRF52832 Bluetooth 5 SoC. The Thingy:52™ is natively supported by SensiML Analytics Toolkit.
NXP MIMXRT1050-EVK: i.MX RT1050 Eval Kit
i.MX RT series MCUs combine the high-performance of an applications processor with the ease of use and real-time functionality of a microcontroller. The i.MX RT1050 runs on the Arm® Cortex®-M7 core at 600 MHz.
onsemi RSL10 Sensor Development Kit
The RSL10 Sensor Development Kit is a compact and comprehensive platform to easily develop IoT applications with leading sensor technology and the industry's lowest power Bluetooth Low Energy SoC.
QuickLogic QuickFeather
Development Kit
QuickFeather is a heterogenous core IoT dev kit based on open-source hardware that includes eFPGA fabric and an Arm M4F MCU, compatible with the Adafruit Feather form factor, and built around 100% open source software and tools.
Raspberry Pi 3/3B/3B+/4
The third and fourth generations of the popular Raspberry Pi range of single board computers, boasting 64-bit quad core processing, dual-band 2.4GHz and 5GHz wireless LAN, Bluetooth 4.2/BLE, faster Ethernet and more.
Renesas EK-RA4W1 Dev Kit
The EK-RA4W1 evaluation kit enables users to effortlessly evaluate the features of the RA4W1 MCU Group and develop embedded systems applications.
Silicon Labs xG24 Dev Kit
With wireless IoT connectivity using Matter, OpenThread and Zigbee as well as an integrated AI/ML accelerator, the xG24 family is ideal for smart home, lighting, and building automation products.
Silicon Labs Thunderboard Sense 2
A compact, low-power, and sensor-rich development platform based on Silicon Lab's EFR32 wireless system-on-chip (SoC), making it an ideal tool for developing battery-operated wirelessly connected edge IoT devices.
SparkFun QuickLogic Thing Plus - EOS S3
A small form factor system ideal for enabling next-generation low-power machine learning IoT devices, this system is powered by QuickLogic’s EOS S3, the first eFPGA-enabled Arm Cortex©-M4F MCU built around 100% open source software and tools.
ST SensorTile.Box Development Kit
SensiML supports the SensorTile.box with a ready-to-use firmware for connecting to Data Capture Lab.
ST SensorTile Development Kit
For customers who seek solutions for the STM32, SensiML supports the ST SensorTile eval kit.
ARM Cortex-M Series Processors
Beyond the listed purpose-built Arm Cortex-M based IoT eval kits, SensiML can also generate code for all boards based on ARM Cortex-M class processors, including your own bespoke PCB design.
ARM Cortex-A Series Processors
Need the power of a true application processor? SensiML can generate code for all SBCs based on ARM Cortex-A class processors, including your own custom SBC.
Intel Core, Pentium,
Celeron, and Atom PCs
SensiML supports the range of x86 ISA processors from Intel including the Core, Atom, Celeron, and Pentium processors built specifically for IoT and embedded applications.
Productivity is Built In for Your Own Production Grade Solutions
The next form of integration is awareness and support of unique hardware capabilities allowing for utilization of specific SoC accelerators or compute cores for those devices supporting this capability. Examples of this level of hardware support include DSP and FPGA optimizations for Quicklogic EOS S3, CMSIS DSP optimization for Arm Cortex processor based SOCs, and AI accelerator support for Silicon Labs' xG24 SoCs. The next form of platform support includes specific evaluation and prototyping boards that are recognized directly within the SensiML Data Capture Lab (DCL) for interactive data acquisition of raw sensor data into the toolkit without the need to utilize custom scripts, 3rd party data acquisition software, or custom coding.
Supported Platforms Offer The Best End-to-End Workflow:
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Supporting products from these leading companies and SensiML partners
