We present an approach to automatically processing open source unstructured data to extract relevant technical information. The approach is tailored towards technology monitoring, and specifically to prevent "technical surprise"when a competitor or adversary develops and deploys an unexpected technology. Our approach takes advantage of Natural Language Processing, Entity Extraction, and Visual Document Processing. We provide an intuitive interface that allows users to easily interact with the Machine Learning system.