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.
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
Nov 9, 2020 - SensiML is pleased to announce support for the Arduino Nano33BLE Sense popular with TensorFlow Lite for Microcontrollers. With this release, we have also made the addition of custom sensors simpler so developers can get started collecting and labeling data faster.More Info
Dec 15, 2020 - SensiML announces that it has introduced a new, zero-cost version of its SensiML Analytics Toolkit called “Community Edition, which features a lifetime license that never expires. Now, endpoint IoT developers can download the software and quickly begin developing, prototyping and evaluating AI functionality for their applications without cost or risk.More Info