Age-related macular degeneration (AMD) is the leading cause of sight loss in the developed countries and it affects around 170 million people around the world. We present here our software, which considerably accelerates clinical and pharmaceutical research by providing Machine Learning-based analysis of Optical Coherence Tomography (OCT) images - the main modality used for AMD diagnostics. We explain how our system detects the presence of disease biomarkers and quantifies them, providing a tool for rapid clinical analysis.