SensiML Analytics Toolkit consists of two primary applications that work in unison to streamline the process of building ML model code for the IoT edge node. Together these tools support collecting and labeling sensor data and processing the resulting dataset to construct optimized embedded code that extracts insight from raw sensor data.
SensiML Data Studio
A PC client application (Windows OS) that automates the ML dataset development steps as required to create an accurate train/test dataset for model building.
SensiML Analytics Studio
A browser-based application that utilizes SensiML's AutoML cloud engine to transform train/test datasets into compact inference code for the desired embedded device.