Geospatial AI for Disaster Planning
AI-powered
resilience
intelligence.
Resilitix builds EmergenCITY AI: geospatial AI for disaster planning. Turn questions about hazards, people, infrastructure, and vulnerability into assessments your team can use. Examine potential exposure, investigate the findings, and follow the next question to advance preparedness and planning as threats develop.
Member of NVIDIA InceptionFrom scattered data to connected understanding.
- Less than 90 seconds to your first data-driven answer.
- More than 200 million geospatial data records across the United States.
- More than 130 curated disaster datasets.
Why use EmergenCITY AI now?
Analytical answers that move disaster planning forward.
Bring geospatial analysis within reach of the team you have. Develop a clearer assessment of your community, examine what a threat could mean locally, and put evidence behind the next planning step.
Access analysis with the team you have.
Ask planning questions in plain language and examine geospatial findings your team can use to strengthen preparedness.
Understand what a threat could mean locally.
Connect supported hazard information with people, infrastructure, and vulnerability to identify places that warrant closer investigation.
Follow the next question.
Examine a finding, refine your question, and develop a clearer assessment as your planning work takes shape.
Turn findings into the next planning step.
Revisit an assumption, focus a local check, or bring evidence to a planning discussion. When deeper analysis is needed, give specialists a clearer question and scope.
01 / Our flagship technology
Resilience intelligence on demand
Expand your analytical reach with the team you have.
ResilUS, the AI agent inside EmergenCITY AI, connects your question with curated geospatial evidence and spatial analysis. Examine the findings, ask a follow-up question, and develop an assessment that helps your team advance its planning work.
One question. Four connected outputs.
An example question
“Which communities combine flood exposure and limited access to hospitals?”
ResilUS connects the question to curated geospatial data and returns Math, Map, Memo, and Audit.
A plain-English question becomes Math, Map, Memo, and Audit through ResilUS and curated geospatial data. Conceptual illustration.
Math
Understand the scale of potential exposure through quantified findings.
Map
See where hazards, communities, and facilities overlap.
Memo
Understand what the findings mean for your planning question and explain them to others.
Audit
Examine the sources, methods, and assumptions behind the assessment.
02 / Connected evidence
Know what a developing threat could mean for the places you’re responsible for.
A forecast is the starting point. Connect available hazard information with people, facilities, infrastructure, and essential services to understand potential exposure in context.
The evidence layers
- Hazards & forecasts
- People & vulnerability
- Infrastructure & lifelines
One integrated geospatial assessment.
Hazards and forecasts, people and vulnerability, and infrastructure and lifelines combine in a shared geospatial assessment. Conceptual illustration.
Focus limited attention on what needs a closer look. Examine where exposure and vulnerability intersect to decide which locations, facilities, and questions warrant further investigation.
03 / Planning across disaster stages
Planning continues as conditions change.
The stage changes the question. Use geospatial evidence to understand what warrants attention and what to examine next.
Before a threat
Where are the preparedness gaps? Examine where hazards, people, vulnerability, and facilities overlap to revisit planning assumptions and focus deeper review.
As a threat approaches
Where should we look closer? Connect supported forecasts with community exposure to focus readiness discussions. Run a new assessment as suitable evidence changes.
After impact
Where should we verify first? See how team-supported assessments combine platform screening, reported conditions, and analyst review to identify verification needs and further planning questions.
See the team-supported example
How the assessment develops
- Know your communities.
- See developing threats.
- Identify potential exposure.
White rings mark examples of communities and facilities that may be exposed.
Baseline community and infrastructure context combines with a developing-threat forecast to highlight potential exposure. Conceptual illustration.
Screening-grade assessments for preparedness and developing threats. Teams interpret the findings with authoritative sources and local knowledge.
Applications
Put the assessment to work.
Prepare before a threat. Understand potential exposure as conditions develop. Explain what the evidence shows. Explore how EmergenCITY AI supports the questions behind this work.
AI for emergency management
Prepare with a clearer picture.
Explore vulnerabilities and essential services before a threat develops, and identify questions for closer investigation.
Read moreAI for situational awareness
Understand what may be exposed.
Connect an available hazard footprint with people and facilities to assess what deserves closer attention.
Read moreGeospatial AI
Examine the basis for the answer.
Understand how geographic relationships and analysis support a finding, and what its interpretation depends on.
Read moreBuilt by Resilitix
Technology with
a clear purpose.
We build intelligence for the people preparing communities, infrastructure, and essential services for disruption.
Our work connects data and analysis around the questions that matter—while keeping human expertise and judgment central.
Meet the companyExplore what’s possible
Bring your next planning question.
Start with a real question about your community or service area. Explore how EmergenCITY AI can help your team develop a useful assessment and identify the next planning step.