The ERGO platform allows scientists to more quickly discover new and hidden relationships in large sets of literature and unstructured text, such as the patent literature, pubmed, claims, clinical trials, and clinical documentation. State-of-the-art natural language processing (NLP) methods are used to extract scientific, biological and medical entities and learn semantic relationships from unstructured text data. Insights are presented in an intuitive user interface in a number of graphical formats.