Our algorithms monitor digital conversations across open-source social and collaborative media, extracting metadata indicators like interest level and intensity of discussion. We make this data available for subjects like political parties, non-state actors, and geopolitical points of interest.
Using a proprietary event database and machine learning models, we identify patterns in conversation activity around past events. For our users, these models provide indicative warning for periods of political volatility and civil unrest around any given country, operational footprint, or digital conversation of interest.