Relying on error-prone, time-consuming human inspection or traditional computer vision technology that cannot be accurately or easily modified for different product types aren’t practical options. But now manufacturing environments—from parenteral pharmaceuticals to medical imaging equipment sensors and more—can ensure product quality, increase inspection volume, and reduce operating expense with a cost-effective alternative. AVIS, a revolutionary AI-based automated visual inspection solution, is a game changer for increasing inspection volume, reducing missed defects, and significantly reducing operating and capital expenses, without the need for highly skilled, costly, hard-to-find talent resources required by traditional AI development methods. AVIS can train in as little as one day without the need of extensive defect libraries—a fraction of the time it takes traditional computer vision or neural network/deep learning-based technology. Dedicated to enable delivery of healthcare services more efficiently and with better outcomes, a leading producer of parenteral drugs wanted a more cost-effective method of semi-automated inspection without human input and decision-making. Boon Logic retrofitted a customer’s semi-automated inspection equipment with AVIS, and delivered: 88% fewer false rejections • 22% increase in output 2.5-person reduction per retrofitted inspection machine