In the evolving landscape of industrial AI, enterprises increasingly turn to multimodal AI solutions that seamlessly integrate vision, text, and sensor data to enhance manufacturing processes. Traditional AI models often focus on a single modality—computer vision or text-based analytics. However, multimodal AI combines these capabilities, enabling better decision-making, process automation, and quality control in Manufacturing. Leading enterprises such as Samsung, Caterpillar, and other industrial giants are investing in multimodal AI to achieve higher efficiency, predictive insights, and automated troubleshooting. By integrating visual inspection systems, IoT sensor data, and technical documentation analysis, manufacturers can reduce errors, improve product quality, and optimize operations like never before.