Applications
AI for situational awareness as threats develop
Situational awareness involves understanding what changing conditions could mean for the people and systems in a place. EmergenCITY AI supports this assessment by connecting hazards and forecasts with community vulnerability, infrastructure, and essential services. Its focus is preparedness and developing threats: clarifying who and what may be exposed.
Connect the forecast to the community
A forecast identifies a possible hazard. An exposure assessment examines its overlap with people, facilities, and infrastructure. Adding community context helps teams ask more useful questions about the consequences that may need closer investigation.
EmergenCITY AI brings these layers into a shared geography so their relationships can be assessed together. The meaning of a result depends on the source, timestamp, coverage, and assumptions of the underlying data.
An illustrative developing-threat workflow
- Establish the community and infrastructure baseline for the area of interest.
- Examine the available forecast or hazard footprint for the relevant period.
- Assess where that footprint intersects with people, vulnerability, and facilities.
- Review the resulting Math, Map, Memo, and Audit with local knowledge and authoritative information.
The third website animation illustrates this progression. It shows potential exposure, not confirmed damage or a prediction that every highlighted location will be affected.
Make the assessment understandable
A useful briefing explains both what the evidence suggests and what remains uncertain. EmergenCITY AI presents the geographic findings with their supporting sources, methods, and assumptions so teams can interpret the assessment in context. Dataset timing and coverage should be checked before using any finding in planning.