Labs in the rubber and tire industry often struggle with fragmented data from various sources, hindering product development and causing loss of valuable knowledge. Quality control issues, such as identifying failing batches too late, result in costly wastage. This talk will explore how innovative digital platforms centralize data management, resulting in enhanced data analysis, process efficiency, and time savings, ultimately making companies more competitive. Additionally, we will discuss the role of artificial intelligence in quality control and product development of rubber formulations and tire designs, showcasing its ability to uncover hidden correlations and offer rapid visualizations, improving overall efficiency.