Current methods used to qualify additive manufacturing (AM) materials and processes during manufacturing are expensive and time-consuming. Senvol is developing data-based machine learning software that supports the qualification of AM processes, machines and materials, rapidly optimizes process parameters, predicts material properties of components, supports quality assurance, and minimizes data generation costs. The software can be applied to any AM process or material and has been prototyped and functionality verified. Sustained competitive advantage is provided as this technology significantly decrease AM data generation costs such that qualification of AM components can be achieved faster and with fewer resources. Our goal is to integrate and transition this technology into government and prime contractor systems that enable the adoption and deployment of AM.