Testimonial STMicroelectronics

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What if a system could use machine learning to train models and run them on the same microcontroller? It’s, in essence, the groundbreaking accomplishment of NanoEdge AI from Cartesiam, a French company and a member of the Machine Learning ST Partner Program that’s redefining what we know about artificial intelligence.

As a software company, Cartesiam listens to their customers describe what they want to analyze (i.e., light, sound, electrical properties, etc.) and the available hardware (i.e., sensors, memory, MCU, and more). The company then delivers a library that enables the future application to take advantage of machine learning at the edge. The process itself is straightforward because the company has years of research and experience. Let’s, therefore, look at what our collaborator brings to the ST Partner Program, to IoT, and machine learning applications with a glimpse at how they used our latest STM32G4 32-bit MCU Series.


According to Markets and Markets’ analysis, the predictive maintenance market is expected to grow from $1,404.3 million in 2016 to $4,904.0 million in 2021, with an average annual growth rate of 28.4% between 2016 and 2021. Bob is the solution likely to revolutionize this market with, for the first time, artificial intelligence functionalities directly integrated into a sensor capable of autonomous learning, without any specific link to an “intelligent” cloud. This technological feat, which reduces the cost of access to industrial predictive maintenance solutions, is the result of a partnership between Eolane, for the electronic hardware and IoT solutions, and Cartesiam for the Software/IA part.

NanoEdge AI is the only learning machine engine capable of operating in learning and inference directly on all Cortex M type microcontrollers.
Gaining in productivity and competitiveness: a vital issue
A sine qua non for the success of the IoT
At the proposal of Cartesiam :