Embedded engineering forms the core of Physical AI, where real-world intelligence must function under strict limits of latency, power, safety, and reliability. From sensor-level data collection and firmware to real-time operating systems, middleware, and embedded applications, perform deterministic control and decision-making at the edge. Edge engineering and edge intelligence allow AI and ML models to operate near the physical environment through techniques like compression, quantisation, and hardware acceleration, seamlessly integrated with IoT connectivity and system software. With over 25 years of experience in robotics, automotive, medical, industrial, IoT, and computing infrastructure, Evomaton provides production-ready Physical AI systems that reliably connect intelligent algorithms with real-world actions.