First automated ML platform for an Arm Cortex-M0/M0+

Supporting a wide range of machine learning algorithms, AutoML by TDK SensEI is designed for lightweight, Cortex-M0-to-M4-class processors, yielding ultra-low power consumption and latency.

How Does AutoML by TDK SensEI Work?

AutoML by TDK SensEI Features

Optimized for the Edge

Supports Arm® Cortex®-M0-to-M4 class MCUs and other constrained environments

Leverages sensor data

Ingests data from multiple streams (sensor fusion) and is sensor agnostic

Wide range of ML methods

Compares results from many algorithms: regressors, decision trees & neural nets

Automated feature extraction

Generates and weights features from your data for the best performance

Intuitive user experience

Click-through UI with no coding required

Data visualization

Visualize collected or uploaded data to understand patterns and problems

Performance reporting

Provides model performance summaries, visualizations, and recommendations

Easy deployment

Translates models into C to compile and deploy to target embedded hardware

Option to add AutoML support to your specific hardware

Option to add AutoML support to your specific hardware

What Users Say About AutoML by TDK SensEI

Combined with Arduino Nano 33 IoT, users of AutoML by TDK SensEI can quickly create smart IoT sensors that can perform analytics at the edge, minimize communication, and maximize battery life.

Dominic Pajak, VP Business Development
Arduino

Dominic Pajak, VP Business Development, Arduino

By automating the development of ML solutions for advanced industrial IoT applications such as condition monitoring and predictive maintenance, AutoML by TDK SensEI eases the usability of our products.

Pierrick Autret, Product Marketing Engineer
STMicroelectronics

Pierrick Autret, Product Marketing Engineer, STMicroelectronics

The Cortex-M0 and Cortex-M0+ processors pack high performance with very low power consumption, and the added support of the AutoML by TDK SensEI platform enables application developers to easily add intelligence to small devices such as wearables, making a world of one trillion intelligent devices a closer reality.

Steve Roddy, Vice President of Product Marketing, Machine Learning Group
Arm

Steve Roddy, Vice President of Product Marketing, Machine Learning Group, Arm

The UI is clean, intuitive, and provides end-to-end model deployment support. We no longer have to fumble with various tools for collecting data, building models, and deploying solutions.

AutoML User

AutoML User