Innovation at the Edge
Where new ideas take shape
Innovation in embedded systems is evolving fast. From smarter sensors to local decision-making, edge intelligence is redefining what firmware can do.
We help clients bring innovation to the edge by developing embedded firmware that runs fast, communicates efficiently and makes smart decisions on its own. Everything runs directly on the microcontroller without relying on the cloud.
We turn innovative ideas into working firmware at the edge.
Smarter Maintenance with TinyML on an IoT Node
One of our industrial clients needed a reliable way to detect malfunctioning equipment in the field, without depending on cloud infrastructure or manual checks.
We proposed introducing a lightweight machine learning model to recognize abnormal behavior based on vibration data. By using a MEMS sensor and deploying the model with TinyML directly on the microcontroller, the system could detect signs of malfunction in real time locally.
This local intelligence allowed the device to respond instantly, trigger alerts when needed, and reduce the amount of data sent to the cloud.
The result was a smarter, low-power solution for predictive maintenance that worked even in remote or offline environments.
