Aladdin Healthcare Technologies SE has successfully released its proprietary biomedical knowledge graph 'PharmaKG' as SAAS (Software As A Service). PharmaKG has been used by Aladdin and its partners to process biomedical knowledge and reasoning, to accelerate the discovery of artificial intelligence (AI) drugs. The PharmaKG allows to uncover key findings, mechanisms of action and potential drug candidates by revealing essential relationships between diseases, genes, chemical compounds or drugs. The Pharma Knowledge Graph offers key functions such as the identification of target molecules, the discovery of pathological causalities, the analysis of mechanisms and the repurposing of drugs to new fields of application. A knowledge graph is a graph-structured knowledge database, where facts are represented in the form of relationships between and from different data providers. In a knowledge graph, entities (nodes) are related to each other by means of the so-called edges and are contextualized thematically. Aladdin's AI team, through the use of advanced text mining techniques, was able to extract biomedical knowledge from over 30 million research articles and to construct a large scale knowledge graph with more than 800 thousand entities and over 10 million edges among diseases, targets, compounds, biomarkers and genes.