This is like a military version of Google Maps plus a flight simulator that helps commanders quickly find backup airfields, check if they’re usable under different threat and weather conditions, and rehearse operations before sending real aircraft and crews.
Manually assessing and planning for contingency (backup) airfields in contested environments is slow, labor‑intensive, and often based on stale or incomplete data. This software uses AI to automatically identify suitable sites, score their viability, and simulate their use so planners can support force dispersal and resilience (Operational Imperative 5) faster and with better accuracy.
If fully realized, the moat would come from access to classified geospatial and operational data, close integration with Air Force planning workflows, and tuned models that encode service-specific basing constraints and threat models rather than generic geospatial analytics.
Hybrid
Vector Search
High (Custom Models/Infra)
Combining large, frequently updated geospatial and threat data with real-time simulation will stress compute, storage, and potentially classified network constraints; running fast what-if simulations for many sites could create both inference latency and cost bottlenecks.
Early Adopters
Focused specifically on USAF Operational Imperative 5 (resilient basing and dispersal) and contingency airfield planning, likely integrating operational constraints and threat models that generic GIS or simulation tools do not natively support.