The delivery platform combines proprietary wet-lab data, automated public-data ingestion, and machine-learning models to accelerate LNP discovery. Each design cycle generates formulation, expression, and toxicology data, which feeds back into the model to improve candidate selection. This iterative build-test-learn system helps prioritize the most promising lipids and formulations, enabling faster optimization of targeted in vivo delivery for Blue Marlin’s immune-cell engineering platform.