Embedded AI

Our embedded AI solutions bring machine learning capabilities to edge devices without compromising performance or power efficiency.

We specialize in model compression, quantization, and hardware acceleration techniques that enable complex AI workloads on microcontrollers and embedded processors.

From computer vision and sensor fusion to predictive maintenance and autonomous decision-making, we implement AI algorithms that operate reliably in real-world conditions.

Our approach includes custom neural network architectures, optimized inference engines, and integration with specialized AI accelerators.

We handle the complete pipeline from model training and validation to deployment and over-the-air updates, ensuring your embedded AI systems remain accurate and responsive while meeting strict power and latency requirements.