A leading global oil service company sought to accelerate cement mix design while reducing costs and improving accuracy. Faced with data overload, low model precision, and costly lab experiments, the client partnered with FPT to deploy an AI-powered Virtual Lab. Leveraging predictive analytics and automated design suggestions, the solution achieved 95% accuracy in thickening time prediction and cut experimentation costs by 80%, outperforming human engineers in most cases.