Aptima applies modeling and simulation methods to help analysts, trainers, and researchers to simulate, forecast, and analyze patterns and relationships among individuals, teams, and population groups. Our Adaptable Modeling Environment (AME^TM) software tool has been used to design Command and Control (C2) organizations and extract meaningful activity patterns from image data. Aptima’s LaVA™ (Latent Variable Analysis) capability provides quantitative methods for extracting conceptual meaning from documents – beyond keyword extraction – to find temporal and semantic relationships in large datasets. Our solutions draw on a broad set of approaches from many fields including optimization, machine learning, control theory, agent-based modeling, epidemiology, and statistical language processing.