Create compact algorithms that execute on tiny IoT endpoints,
not in the cloud
Collect accurate, traceable, version controlled datasets
Utilize advanced AutoML code-gen to quickly produce autonomous working device code
Choose your interface, level of AI expertise, and retain full access to every aspect of your algorithm
Build edge tuning models that that customize behavior as they see more data.
SensiML Analytics Toolkit suite automates each step of the process for creating optimized AI IoT sensor recognition code. The overall workflow uses a growing library of advanced ML and AI algorithms to generate code that can learn from new data either the development phase or once deployed.
March 25, 2021 – SensiML has collaborated with Silicon Labs to enable AutoML-based rapid development of optimized machine learning sensor models for Silicon Labs’ energy-friendly EFR32 and EFM32 microcontrollers (MCUs).More Info
March 23, 2021 – SensiML™ Corporation, a leading developer of AI tools for building intelligent IoT endpoints, today announced that its CEO, Chris Rogers, will serve as a panelist on the “tinyML for Good – Conservation & Climate” panel at the virtual tinyML Summit 2021. He will also present, Production Worthy Tools for Creating AI at the IoT Edge.More Info
Nov 20, 2020 - Climate change: A huge challenge forcing us all to be smarter about how we utilize our planet's resources. At SensiML we're all about smarter, which is why we’re teaming up with QuickLogic and Hackster.io to create the “Challenge Climate Change” contest with over $70k in prizes. So do some good, learn about edge AI, and maybe win big!More Info