High performance iron castings design and manufacturing have many variables with uncertainty impacting the casting quality and performance. A framework is developed for building meta models utilizing historical data and generating required missing data under controlled experiments and ICME based predictions. Author will present the meta models developed using AI/ML for predicting properties and porosity for sand cast ductile iron castings. For the design community, models assist predicting properties as a function of section thickness, feature orientation with respect to gravity and type of mold media coupled with processing parameters that will be presented. These meta models are demonstrated for a near real time intelligent processing of the castings in a production environment.