A real-world operational environment where government agencies, military organizations, technology providers, and researchers can study and evaluate search, intelligence, coordination, and response processes using actual mission conditions.
Traditional wargaming environments rely on computer-generated scenarios, synthetic data, and simulated decision-making.
Satellite Child Find offers a different approach.
Our platform provides a real-world operational environment where participants work with actual mission conditions — not synthetic scenarios. Every exercise contributes to a humanitarian objective.
Finding missing children and vulnerable persons — while improving operational readiness.
Modern military operations increasingly depend on the same capabilities required during missing-child investigations and search-and-rescue missions.
Satellite Child Find creates opportunities to evaluate these systems and workflows in a mission-driven environment where success can produce meaningful public benefit.
Each branch and agency brings unique capabilities that align directly with real search-and-intelligence mission requirements.
Potential Focus Areas
Training Value
Space Force personnel could integrate commercial satellite feeds, practice rapid response tasking, and develop space-enabled humanitarian operations using real mission conditions.
Potential Focus Areas
Training Value
Improving analyst proficiency in rapidly developing operational pictures from multiple intelligence sources.
Potential Focus Areas
Training Value
Enhancing planning and coordination skills during complex search operations.
Potential Focus Areas
Training Value
Applications include maritime search and rescue, disaster response, ISR coordination, and AI-enabled reconnaissance — practiced against real operational data.
Potential Focus Areas
Training Value
Marines routinely train for distributed operations, ISR collection, and rapid response missions. SCF offers realistic scenarios involving terrain analysis, search operations, and multi-agency coordination.
Potential Focus Areas
Training Value
NGA analysts could practice imagery exploitation, identify vehicles and persons, detect changes over time, test AI-assisted imagery analysis, and train new GEOINT analysts using realistic operational challenges.
Potential Focus Areas
Training Value
NRO could evaluate satellite tasking workflows, rapid imagery delivery, commercial imagery integration, and AI-assisted target detection using real humanitarian mission requirements.
Potential Focus Areas
Training Value
NSF-funded researchers could use SCF as a living research environment to advance AI, geospatial analytics, data science, and human-AI teaming — all validated against real humanitarian mission data.
Potential Focus Areas
Training Value
DOJ agencies including the FBI and OJJDP can leverage SCF's platform to support child exploitation investigations, missing children recovery operations, and evaluation of emerging law enforcement technology.
Potential Focus Areas
Training Value
SCF's real-time geospatial platform directly supports DHS mission areas including human trafficking interdiction, border security monitoring, missing persons recovery, and coordinated emergency response.
Potential Focus Areas
Training Value
SCF could serve as a technology incubator for child recovery operations, predictive analytics, geospatial search tools, and public-private collaboration — advancing the mission of every missing child recovered.
Potential Focus Areas
Training Value
SCF technology could support disaster victim location, missing persons after hurricanes, flood response, and wildfire evacuations — using real-time satellite and drone data.
Potential Focus Areas
Training Value
DIU seeks emerging technologies that solve operational problems. SCF provides AI testing, drone integration, satellite analytics, search and rescue applications, and multi-domain command systems — all validated against real mission requirements.
Rather than training solely through simulation, participants gain experience working with real-world data, realistic constraints, and meaningful outcomes.