Alexandria uses advanced machine learning methods to discover intelligence in unstructured content. "Thinks Like a Human – Performs Like a Machine"... Using proprietary ML methods first applied to genomic research, Alexandria's programs are capable of understanding diverse and challenging content, from every day news to long and complex documents, and in multiple languages. Every piece of information is analyzed for WHO (entities), WHAT (topic/subject matter) and WHY (sentiment), extracting that fundamental information and printing it in a clean and concise time series of machine-readable data. Alexandria's goal is to automate the human understanding of context in the domain of finance. Language is more than the sum of its parts. Unlike the industry standard dictionary/lexicon systems, Alexandria believes language is much more than the sum of its parts, looking for the multi-dimensional relationships that exist in industry and even entity specific language, as identified by financial experts. A “money-spinning killer app†for the investment industry (The Economist Online).