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.
We are building a global multimodal AI engine for real-time disaster prediction, monitoring, and response. TerraVigil™ powers predictive intelligence and live situational awareness, while ResilientIQ™ transforms lessons learned and operational knowledge into actionable guidance for future response optimization. Watchtower™ delivers real-time risk monitoring and alerts, and FloodGrid AI™ converts FEMA flood data into machine-learning–ready intelligence. Together, these integrated systems provide end-to-end AI-driven disaster management that helps save lives, reduce costs, and strengthen long-term resilience.
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.
ResilientIQ™
ResilientIQ™ answers emergency management questions and evaluates emergency operations plans, citing every claim. Pick an AI advisor from peer-reviewed research, authoritative guidance, or your jurisdiction's own documents, or join them for improvements grounded for any combination.
Trained on the guidance 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 guidance, 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 traceable, authoritative answer in seconds.
ResilientIQ™ on real questions.
Real questions from emergency managers. Real guidance 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
04 03
What are the evacuation best practices for urban flooding in dense metro areas?
Searched authoritative and academic corpora
- Read authoritative: FEMA_UrbanFloodEvac… p. 47
- Read authoritative: DHS_UrbanFloodCase… p. 112
- Read academic: Berkeley_VulnerablePop… p. 188
Ranked 7 passages by relevance
Synthesized operational answer
Verified every citation
Urban flooding evacuation in dense metropolitan areas requires layered decision-making: pre-event triggers tied to NWS forecast products, real-time inundation modeling, and traffic-managed egress rather than open evacuation orders.
Trigger architecture
Activate evacuation orders against published NWS Areal Flood Warning thresholds and the city's pre-defined hydrologic gauges.1 The 2024 FEMA Urban Flood Annex requires 6 hours minimum lead-time from gauge breach to mandatory order.2
Egress management
Dense metros cannot use rural evacuation models. Contraflow on limited corridors paired with transit-assisted evacuation is the dominant pattern across post-2018 case studies.4
// static preview · book a live walkthrough →
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 guidance 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.
AI for Natural Disasters is built to close that gap. Not by replacing the guidance, but by making it instantly accessible: cited, contextualized, and ready to brief.
Behind the products
Built by AI scientists. Guided by emergency-management veterans.
AIND 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.
Industry
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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.
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Rob Nicholson
U.S. Navy, Naval Oceanography
Navy Oceanography veteran and Executive Officer for the Navy Reserve Naval Oceanography Operations Command. 25+ years of mission-driven leadership across electronic warfare, space operations, remote sensing, and data analytics.
Academic
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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.
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Monica Chiarini Tremblay, PhD
William & Mary
Hays T. Watkins Distinguished Professor of Business. Research focuses on AI and information systems for digital resilience and decision-making in government and public-sector contexts.
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Arturo Castellanos, PhD
William & Mary
Assistant Professor of Operations and Information Systems Management. Research spans business analytics, FinTech, and systems analysis, with publications in MIS Quarterly.