UnionTech Deploys AI Agents to Automate Industrial 3D Printing Workflows

Traditionally, 3D printing complex parts requires senior engineers to manually assess material suitability, part orientation, and support structures—a process prone to trial-and-error. Allen Yang, Vice General Manager at UnionTech, notes that while hardware capabilities have advanced, the industry now demands consistent, small-batch production that hinges on efficient workflow coordination rather than raw fabrication power. Quick AI addresses this by acting as an Enterprise Agent OS, allowing engineers to create agents that log workflows, experimental results, and parameter adjustments.

By capturing the "why" behind specific engineering decisions—such as why a particular orientation succeeded or failed—the platform institutionalizes knowledge that was once trapped as tribal expertise. When a new project arrives, these agents reference nearly 5 million existing part models to suggest an initial process plan. This does not replace human oversight; rather, it provides a data-backed foundation that allows engineers to focus on validating novel structures and critical risks. The system integrates with Unionfab Cloud and Unionfab ONE, effectively bridging siloed business systems from initial customer quotation to final shop-floor execution. This closed-loop approach ensures that every completed project serves as a training benchmark, allowing UnionTech to scale its manufacturing intelligence and maintain rigorous quality standards across its global production network.