“We’ll be using reinforcement learning to effectively come up with the optimal toolpaths to see a 3D model, and based on the curvature and the geometric forms, to choose what are the right tools, or what are the right angles of attack,” Springut says. “And when we do that, that’s what’s going to bring the cost of fabricating stone down by 80% to 90%.”