smartFAB
Smartfab is an AI industrial analytics company based in Milan, Italy. They develop products that leverage human-driven analysis of real-world manufacturing problems. Their AI industrial analytics platform empowers shop floor workers of all skill sets to identify and solve complex issues without needing expertise in statistical modeling, programming, or report generation. The company's mission is to bridge the gap between everyday workers and advanced data analytics tools, enabling them to make informed decisions quickly. Smartfab focuses on enhancing worker capabilities, promoting environmental sustainability through resource efficiency, building manufacturing resilience, and fostering collaborative innovation. They have demonstrated significant results for their clients, including a 20% reduction in cycle time, a 10x ROI in less than 6 months, a 10% increase in OEE, and a 15% increase in worker productivity. Their solutions address key manufacturing challenges such as process variability, defects, unplanned downtime, energy losses, and scheduling.
smartFAB
Smartfab is an AI industrial analytics company based in Milan, Italy. They develop products that leverage human-driven analysis of real-world manufacturing problems. Their AI industrial analytics platform empowers shop floor workers of all skill sets to identify and solve complex issues without needing expertise in statistical modeling, programming, or report generation. The company's mission is to bridge the gap between everyday workers and advanced data analytics tools, enabling them to make informed decisions quickly. Smartfab focuses on enhancing worker capabilities, promoting environmental sustainability through resource efficiency, building manufacturing resilience, and fostering collaborative innovation. They have demonstrated significant results for their clients, including a 20% reduction in cycle time, a 10x ROI in less than 6 months, a 10% increase in OEE, and a 15% increase in worker productivity. Their solutions address key manufacturing challenges such as process variability, defects, unplanned downtime, energy losses, and scheduling.