Why Choose Us?

We understand that developing TinyML products can be complex. It requires a unique blend of skills in machine learning, embedded software, hardware design, and PCB development — often needing multiple specialized teams. That’s where we come in.

Most companies struggle to find a single team that covers the full scope — ML algorithms, embedded coding, hardware engineering, and PCB design. We combine all these skills in one place, simplifying your project management and accelerating your time to market.

Unlocking the Hidden Power of ARM Cortex MCUs with TinyML

At Calibronic, we believe that the true potential of embedded systems is often underestimated. We always overlook the power of ARM Cortex MCUs—especially the new generation like the STM32N6, which comes with a built-in NPU (Neural Processing Unit).

The real challenge in the world of TinyML lies in the art of model optimization—techniques such as quantization, pruning, and knowledge distillation. These methods are essential to running complex ML models on devices with limited resources.

At Calibronic, we have successfully implemented CNNs, SVMs, and other machine learning algorithms on ARM Cortex MCUs, pushing the boundaries of what embedded devices can achieve.