At FabMetrics, we believe that high-quality production is vital for the success of any business. That’s why we offer advanced AI algorithms that enable predictive quality control. By collecting and analyzing IIoT data on machines, actual values, and in-line quality control measurements in real-time, we can detect quality problems before they become major issues.
Our cutting-edge algorithms correlate this data with your manual or in-line quality control data to identify deviations and prevent quality losses such as scrap, waste, reprocessing, and customer claims. Our team has created two types of predictive quality models, SPC i4.0 and Cycle Analysis Model. These models are designed to capture data signatures and detect potential issues before they impact your business’s profitability.
With our detailed insights for each product that goes through your production line, we can help you optimize your recipe to reduce costs without sacrificing quality and maximize efficiency. Our advanced algorithms and analytical tools enable you to make data-driven decisions that help you achieve your production goals while reducing costs and improving quality.
Trust FabMetrics to help you take your production to the next level with our state-of-the-art AI algorithms and predictive quality control.
