SmartSAW will develop an intelligent and adaptive sawing platform that transforms industrial cutting from operator-dependent, reactive practice into a predictive and self-optimizing manufacturing process. By combining multi-sensor fusion, AI-based predictive models, and servo-controlled tool axis correction, the project will enable real-time monitoring, early anomaly detection, and adaptive process control. Acoustic emission, sound spectrum, camera-based visual/optical monitoring, temperature, load and machine current signals will be integrated to assess cutting behavior, tool wear and surface quality with high reliability. Based on these data, SmartSAW will predict wear progression and quality deviations before defects, waste or downtime occur. The system will then dynamically adjust cutting parameters and compensate tool deflection to maintain cutting accuracy and process stability. The project addresses three closely linked scientific domains: cutting process and tool wear, tool dynamics and acoustic behavior, and workpiece surface quality. As a result, SmartSAW will increase tool lifetime, improve product quality, reduce scrap and resource consumption, and enhance productivity. The project will therefore contribute directly to smarter, more competitive and more sustainable European manufacturing.