FireVisor is an AI-powered software platform designed to transform manufacturing operations by harnessing the full potential of production data. By integrating advanced machine learning algorithms, FireVisor enables manufacturers to detect defects, analyze failures, and monitor processes in real-time, leading to significant reductions in the cost of poor quality (COPQ. This innovative solution empowers factories to transition from traditional, manual inspection methods to intelligent, data-driven decision-making processes, enhancing overall efficiency and product quality. Key Features and Functionality: - Cognitive Defect Detection: Utilizes minimal data to accurately identify defects, surpassing human inspection capabilities and adapting seamlessly to various manufacturing environments. - Cognitive Defect Analysis: Equips process engineers with powerful data science tools, enabling the swift analysis of vast quantities of defect data to uncover root causes and implement corrective actions. - Cognitive Monitoring: Employs AI-driven real-time anomaly detection to highlight unusual defect rates, with a self-learning system that eliminates the need for manual threshold adjustments by process engineers. Primary Value and Problem Solved: FireVisor addresses the critical challenge of high defect rates and the associated costs in manufacturing by providing a comprehensive, AI-driven solution for defect detection, analysis, and process monitoring. By leveraging existing production data, FireVisor enables manufacturers to proactively identify and rectify issues, thereby reducing waste, improving product quality, and enhancing overall operational efficiency. This approach not only minimizes financial losses due to defects but also supports the industry's shift towards more sustainable and intelligent manufacturing practices.