Synthetic biology R&D faces inefficiencies during the “Learn” phase, requiring costly and time-consuming manual iterations. With the global synthetic biology market growing at a rapid pace, there is a pressing need for tools that enhance productivity and reduce bottlenecks. The Automated Recommendation Tool (ART) leverages machine learning to optimize the “Learn” phase, enabling faster iteration cycles and higher accuracy in synthetic biology applications. ART is adaptable to diverse domains, including pharmaceuticals, food and agriculture, and industrial biotech.