Lens
Government
and official.
- Sources
- FEMA · DoD · DHS · NIST · USACE · State EM plans
- Voice
- Direct, operational, directive. Written for someone briefing a decision-maker.
- Use it when
- Command authority matters. The room expects FEMA-grade language.
ResilientIQ answers emergency management questions and evaluates emergency operations plans, citing every claim. Pick an AI advisor from peer-reviewed research, authoritative doctrine, or your jurisdiction's own documents, or join them for improvements grounded for any combination.
Built for
Three roles. One job: making sense of what's coming next.
ResilientIQ is built for the people who own the answer when something goes wrong, and the ones building the plan so it doesn't.
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Emergency Managers
Running EOCs, JFOs, and incident command, where decisions move on hours, not weeks.
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Public Safety Leaders
Police, fire, public health: leadership accountable for whole-community readiness.
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Climate Response Planners
Building the long-cycle plans for hazards that are getting worse, not stabilizing.
Trained on the doctrine you already work from
- FEMA
- DHS
- DoD
- USACE
- NIST
- NOAA
- USGS
- CDC
- IAEM
How the corpus is built
ResilientIQ™ combines AI with manual review by domain experts to ensure only high-quality, relevant intelligence is included. Experts evaluate sources like after-action reports and operational data for credibility and real-world applicability, turning raw information into trusted, actionable knowledge for better decision-making.
Natural disasters are skyrocketing, and the tools haven't kept up.
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Sourced
Authoritative doctrine, academic research, after-action reports, and operational data: the full surface of what the field publishes and what real responses leave behind.
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Vetted
Domain experts evaluate every source for credibility and real-world applicability, ensuring only high-quality, relevant intelligence is included.
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Indexed
Only what passes review enters the corpus, turning raw information into trusted, actionable knowledge for better decision-making.
How ResilientIQ thinks
Two corpora. Two voices. Cited end to end.
ResilientIQ separates what the government says from what the research says, and lets you choose which voice to listen to.
Lens
Research
and scholarship.
- Sources
- Peer-reviewed studies · Practitioner literature · University programs
- Voice
- Analytical and evidence-weighted. Methodology and sample sizes named where the source names them.
- Use it when
- You need research weight behind a decision. Methodology is part of the answer.
Lens · Default
Synthesized.
Disagreements surfaced.
- Sources
- All of the above. Every citation class-tagged so you can see provenance at a glance.
- Voice
- Synthesized. When sources agree, we cite them all. When they disagree, we surface the disagreement.
- Use it when
- You want maximum transparency on what the field actually says, and what it doesn't.
// designed for nims-aligned workflows. reviewed by advisors from fema and noaa.
ResilientIQ
The knowledge engine for disaster response professionals.
When you're 36 hours from landfall and need to know the unified command activation threshold for a multi-agency flood response, ResilientIQ gives you the cited answer in seconds. Not a search page, not a hallucination. NIMS. ICS. ESF frameworks. CPG 101. All there. All cited.
ResilientIQ on real questions.
Real questions from emergency managers. Real doctrine answers with class-tagged citations. Toggle the lens to see how the same query reads from authoritative versus academic sources.
RESILIENTIQTMSESSION 794F
⌘K
SourcesRETRIEVING…
SYSTEM READY·AWAITING QUERY
// scroll down to see a live query demonstration
Ask ResilientIQ…
All answers cited inline and class-tagged
Want to run your own scenarios? See ResilientIQ on a question that matters to your jurisdiction.
Book a Demo Why it matters
Save lives. Save money. Compound the returns.
ResilientIQ makes responses faster and smarter, and eliminates the waste, repeat mistakes, and slow recoveries that drag the field down.
Without ResilientIQ
Every disaster is treated as new. Learning is slow, fragmented, and expensive.
With ResilientIQ
Every disaster makes the next one safer, cheaper, and more effective.
How it saves lives
- 01
Faster decisions.
Surfaces what worked and what failed in past incidents, at briefing speed.
- 02
Smarter coordination.
Lessons learned linked to evacuation, sheltering, and resource placement on the ground.
- 03
Stronger preparedness.
Fewer incidents escalate to fatal outcomes when the doctrine is one query away.
How it saves money
- 01
Less waste.
Automates after-action analysis. Cuts the labor and consulting overhead that piles up after every event.
- 02
Faster recovery.
Accelerates reporting and Stafford-Act reimbursement workflows so funds arrive sooner.
- 03
Smarter mitigation.
Prevents repeat damage by targeting investments where the data says they'll matter most.
Terra Vigil
The intelligence layer for disaster response.
ResilientIQ answers "what should we do?" Terra Vigil answers "what is about to happen?" Combining real-time hazard data, historical patterns, and computational models into assessments your planning team can act on.
Learn about Terra Vigil →The frequency and severity of major weather events has increased sharply.
The coordination frameworks (NIMS, ICS, NRF) are well-designed. But accessing the right guidance under pressure, fast enough to matter, is still a manual process for most emergency management teams.
AIfND was built to close that gap. Not by replacing the doctrine, but by making it instantly accessible: cited, contextualized, and ready to brief.
Behind the platform
Built by AI scientists. Guided by emergency-management veterans.
AIfND combines applied data science with deep operational and academic credibility. The leadership team has built and run AI products in federal government and private industry; the advisory board pulls from FEMA, NOAA, the U.S. Navy, and research institutions across the country.
Founders
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Greg Godbout, MSMIT, MSBAi
Chief Executive Officer
Former CTO and U.S. Digital Services Lead at the EPA. Co-founder and first Executive Director of 18F. 2013 Presidential Innovation Fellow.
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Tom Roderick, PhD
Chief Operations Officer / CAIO
Data scientist and AI expert specializing in applied data science and strategic AI deployment for high-stakes, public-sector environments.
Authoritative: Federal & Operational
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Wayne MacKenzie, MS, MBA, CCM
NOAA, Weather Program Office
Acting Chief, NOAA Science, Technology & Society Division. Certified Consulting Meteorologist.
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Matthew Behnke
FEMA (Former), National Flood Insurance Program
20+ years in federal disaster response, recovery, and risk mitigation. Former senior advisor to the National Flood Insurance Program.
Academic: Research & Doctrine
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Cynthia Zeng, PhD
NYU Stern Abu Dhabi
MIT PhD in Multimodal Machine Learning for Climate Adaptation. Specializes in climate risk forecasting.
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Rajiv Kohli, PhD
William & Mary
Distinguished Professor of Business. Visiting appointments at MIT Sloan, Tsinghua University, and University of Cambridge.