This project is like a global neighborhood watch that uses satellite images and other digital traces to spot unusual military or government activity before it becomes an obvious crisis. It sifts through huge amounts of location-based data to detect “gray zone” moves—actions that are aggressive but fall short of open war.
Traditional intelligence and defense monitoring struggle to see and quantify low-level, ambiguous “gray zone” activities (e.g., incremental military buildups, non-attributed infrastructure work, dual-use facilities). This project uses big data and geospatial analytics to systematically detect, map, and track such activity to improve early warning and situational awareness for policymakers and defense planners.
Methodological know-how in combining diverse geospatial and open-source data sources, analytic tradecraft tuned to “gray zone” patterns, and curated historical labeled events of gray zone activity that can improve models over time.
Unknown
Vector Search
High (Custom Models/Infra)
High-volume ingestion and storage of multi-source geospatial and time-series data, plus the compute cost of continuously running spatial/temporal analytics at regional or global scale.
Early Adopters
Focuses specifically on detecting and characterizing “gray zone” activity via big data and geospatial analysis, rather than generic ISR or traditional military activity monitoring, and packages results for policy and strategy audiences rather than only operational users.