FTL’s “AM4Sight” will employ sensor data fusion, leveraging FTL’s vast knowledge base and expertise in machine learning, artificial intelligence, and additive manufacturing processes, to provide foresight of possible defects and failure modes in additively manufactured metal parts. Statistically, “defect risk” is the product of the probability of a defect being found at a location in an AM part and the severity of a failure mode arising from that defect. With AM4Sight, AM machine outputs are collected, enabling us to statistically model and visualize risk associated with defects in a multi-scale 3D defect risk map across the entire geometry.