The generative model is trained on regional regulatory documentation, including municipal civil protection plans and standardized operating procedures (SOPs), through advanced fine-tuning techniques
Generative models instructed on all of historical events available in each area, capable of processing weather alerts, technical reports, and sensor data
Cost-benefit analysis algorithms comparing intervention costs vs potential economic/humanitarian damage empowering decision makers to make more informed decisions
Contextual guidelines for mayors, technical offices, and volunteers, cross-referenced with municipal civil protection plans
The generative model is trained on regional regulatory documentation, including municipal civil protection plans and standardized operating procedures (SOPs), through advanced fine-tuning techniques. Full traceability of recommendations to original documentary sources
AIRAS correlates rainfall data with historical flood patterns, providing useful data for preventive road closures or dispatching Civil Defense resources when warning thresholds are reached
Guided decision flows for operational phase activation and volunteer coordination
Synoptic damage assessment and restoration plan optimization
Historical scenario-based simulations for operator training
© EX MACHINA SAGL 2025
