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AI for Natural Disasters

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uuid0292dd7

Namestring
AI for Natural Disasters
Legal namestring
AI for Natural Disasters
Company typeenum
Private
Founded yearstring
-
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
Markets served

Serves global market

Keyword5 values
emergency management AI, disaster prediction software, hazard modeling platform, flood inundation modeling, real-time risk monitoring
Industry3 codes
1Emergency Management & Disaster Response (EOC, Civil Defense)
CodeBPAIAGAEPrimaryYes
2Disaster Response Coordination & Incident Command (EOC/ICS)
CodeHLAJAGABPrimaryNo
3Emergency Management & National Resilience (Civil Protection)
CodeBPAIAAAIPrimaryNo
NAICS code3 codes
  • Computer Systems Design and Related Services54151
  • Computer Systems Design and Related Services5415
  • Other Computer Related Services541519
SIC code3 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Prepackaged Software7372
Product category
Emergency Management Software
No data
GTM motion2 records

Each record includes

Type, Description, Source

Marketing channels2 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Technology or R&D, Personnel, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 4 records shown
1ResilientIQ™
Description

Domain-trained AI knowledge engine for emergency management. Provides cited guidance answers for emergency professionals, trained on FEMA, DHS, DoD, USACE, NIST, NOAA, USGS, CDC, and IAEM guidance. Features three lenses: Authoritative (government guidance), Academic (research), and Synthesized (combined with disagreements surfaced).

aifornaturaldisasters.com
+3 more records
Core offering1 text field

AI for Natural Disasters builds an integrated AI-driven disaster management platform for emergency management professionals. The flagship product ResilientIQ™ is a domain-trained knowledge engine that answers emergency management questions with inline-cited guidance from authoritative U.S. agencies (FEMA, DHS, DoD, NOAA, USGS, CDC) and academic research. The company complements it with Terra Vigil™ real-time hazard modeling, Watchtower™ signal monitoring, and FloodGrid AI™ flood inundation projection.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 value
  • Returns compound: every disaster makes the next one safer, cheaper, and more effective when guided by ResilientIQ™
Product overview1 text field

AI for Natural Disasters offers an integrated AI-driven disaster management platform consisting of four products: ResilientIQ™ serves as the core knowledge engine answering 'what should we do?' by providing cited guidance from emergency management authorities; Terra Vigil™ provides real-time hazard prediction answering 'what is about to happen?' through structured-data modeling; Watchtower™ delivers real-time risk monitoring and threshold-based alerts; and FloodGrid AI™ converts FEMA flood data into machine-learning-ready intelligence for flood extent projections. These integrated systems provide end-to-end AI-driven disaster management for emergency managers, public safety leaders, and climate response planners.

Product and service4 records
1ResilientIQ™
CategoryAI Knowledge Engine
Description

A domain-curated knowledge engine for emergency management that answers operational questions with cited guidance from authoritative sources (FEMA, DHS, DoD, NIST, NOAA, USGS, CDC, IAEM) and academic research. Features dual corpora (authoritative/academic) with class-tagged citations, NIMS-aligned workflows, and a synthesized lens that surfaces source agreements and disagreements. Built for Emergency Managers, Public Safety Leaders, and Climate Response Planners.

2Terra Vigil™
CategoryPredictive Hazard Intelligence
Description

A structured-data prediction engine for real-time hazard modeling that combines historical event patterns, real-time environmental sensor feeds, and computational hazard models into probabilistic assessments that planning teams can act upon. Answers 'what is about to happen?' alongside ResilientIQ's 'what should we do?'.

3Watchtower™
CategoryReal-Time Risk Monitoring
Description

Real-time signal monitoring system that aggregates multi-source environmental signals (weather station networks, USGS stream gauges, NWS alerts) and surfaces threshold crossings indicating escalating hazard conditions before formal warnings are issued.

4FloodGrid AI™
CategoryFlood Modeling
Description

Flood inundation modeling product that generates probabilistic flood extent projections across defined geographic areas, updated as storm track and intensity data evolve. Outputs calibrated against FEMA SFHA boundaries and historical surge records.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Dataminr aggregates real-time public signals (news, social, sensors) to surface breaking events for enterprise and public-sector response teams. Comparable to AIND's Watchtower in applying multi-source signal aggregation and threshold detection for early-warning use cases.

TypeEmerging player
Description

Planet Labs supplies daily satellite imagery used for disaster-damage assessment, wildfire, and flood mapping by humanitarian and government response teams. Partially overlaps with AIND's Terra Vigil as a remote-sensing data layer for emergency response, but does not provide knowledge retrieval or operational guidance.

TypeBroad incumbent
Description

Esri's ArcGIS platform is the dominant GIS system of record inside FEMA, state EOCs, and county emergency-management agencies, with deep integration into federal workflows. A broad incumbent that overlaps with AIND's hazard-mapping and incident-support functionalities even though its core is GIS rather than AI knowledge retrieval.

TypeDirect peer
Description

Jupiter Intelligence builds climate-risk analytics and physical-risk models for physical assets under climate scenarios. It overlaps with AIND's predictive hazard modeling and shares the same enterprise/government buyer for catastrophe risk analytics.

TypeDirect peer
Description

One Concern provides AI-driven resilience analytics for natural disasters (earthquakes, floods, wildfires) at city and infrastructure scale. It is directly comparable to AIND's Terra Vigil and FloodGrid AI as a probabilistic hazard-modeling platform sold into emergency-management and public-sector buyers.

TypeDirect peer
Description

Zesty.ai uses AI and aerial/satellite imagery to quantify climate and natural-disaster risk for property and infrastructure. Comparable to AIND's FloodGrid AI in applying machine learning to FEMA-style data for risk modeling, but with a longer commercial track record in insurance/real estate.

TypeEmerging player
Description

Veoci is a no-code emergency-management and crisis-response platform used by EOCs and universities to coordinate incidents. Comparable to AIND as an emerging player addressing EOC workflows, though it focuses on operations software rather than domain-trained AI knowledge retrieval.

TypeBroad incumbent
Description

Palantir's Foundry and Gotham platforms power federal emergency-management and disaster-response analytics with deep deployment at FEMA, USACE, and state agencies. It is a broad incumbent that competes with AIND for the same enterprise AI budget even though it does not specialize in emergency-management knowledge retrieval.

TypeDirect peer
Description

Tomorrow.io provides weather and climate intelligence as an API for operational decision-making, including severe-weather alerting and risk monitoring. Comparable to AIND's Watchtower and Terra Vigil as an enterprise weather/hazard data platform serving public-sector and commercial users.

TypeBroad incumbent
Description

Microsoft's Azure cloud and government AI services (including Azure OpenAI for Government) underpin much of the federal disaster-response and emergency-management technology stack. Comparable as a broad incumbent whose general-purpose AI and Azure Government platform compete for the same buyers and procurement vehicles AIND targets.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability5 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

AI for Natural Disasters

Emergency Management Softwareaifornaturaldisasters.com

AI for Natural Disasters firmographics

Firmographics
Name
AI for Natural Disasters
Legal name
AI for Natural Disasters
Website
https://aifornaturaldisasters.com
Company type
Private
Operating status
Operating
Headcount range
1–10 employees
Ownership category
akta.pro rank

AI for Natural Disasters industry classification

Industry
Product category
Emergency Management Software
NAICS
Computer Systems Design and Related Services (54151), Computer Systems Design and Related Services (5415), Other Computer Related Services (541519)
SIC
Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
akta.pro primary industry
Emergency Management & Disaster Response (EOC, Civil Defense) (BPAIAGAE)
akta.pro secondary industries
Disaster Response Coordination & Incident Command (EOC/ICS) (HLAJAGAB), Emergency Management & National Resilience (Civil Protection) (BPAIAAAI)

Keywords

  • Emergency management AI
  • Disaster prediction software
  • Hazard modeling platform
  • Flood inundation modeling
  • Real-time risk monitoring

AI for Natural Disasters business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Marketing or Sales, Operations

Go-to-market motion2 records

Distribution channels1 record

Marketing channels2 records

AI for Natural Disasters product offering

Product offering

Core offering

AI for Natural Disasters builds an integrated AI-driven disaster management platform for emergency management professionals. The flagship product ResilientIQ™ is a domain-trained knowledge engine that answers emergency management questions with inline-cited guidance from authoritative U.S. agencies (FEMA, DHS, DoD, NOAA, USGS, CDC) and academic research. The company complements it with Terra Vigil™ real-time hazard modeling, Watchtower™ signal monitoring, and FloodGrid AI™ flood inundation projection.

Product overview

AI for Natural Disasters offers an integrated AI-driven disaster management platform consisting of four products: ResilientIQ™ serves as the core knowledge engine answering 'what should we do?' by providing cited guidance from emergency management authorities; Terra Vigil™ provides real-time hazard prediction answering 'what is about to happen?' through structured-data modeling; Watchtower™ delivers real-time risk monitoring and threshold-based alerts; and FloodGrid AI™ converts FEMA flood data into machine-learning-ready intelligence for flood extent projections. These integrated systems provide end-to-end AI-driven disaster management for emergency managers, public safety leaders, and climate response planners.

Differentiator

Problem solved

Functional benefit

Brands

  • ResilientIQ™: Domain-trained AI knowledge engine for emergency management. Provides cited guidance answers for emergency professionals, trained on FEMA, DHS, DoD, USACE, NIST, NOAA, USGS, CDC, and IAEM guidance. Features three lenses: Authoritative (government guidance), Academic (research), and Synthesized (combined with disagreements surfaced).
  • Terra Vigil™
  • FloodGrid AI™
  • Watchtower™

Products and services

  • ResilientIQ™ A domain-curated knowledge engine for emergency management that answers operational questions with cited guidance from authoritative sources (FEMA, DHS, DoD, NIST, NOAA, USGS, CDC, IAEM) and academic research. Features dual corpora (authoritative/academic) with class-tagged citations, NIMS-aligned workflows, and a synthesized lens that surfaces source agreements and disagreements. Built for Emergency Managers, Public Safety Leaders, and Climate Response Planners.
  • Terra Vigil™ A structured-data prediction engine for real-time hazard modeling that combines historical event patterns, real-time environmental sensor feeds, and computational hazard models into probabilistic assessments that planning teams can act upon. Answers 'what is about to happen?' alongside ResilientIQ's 'what should we do?'.
  • Watchtower™ Real-time signal monitoring system that aggregates multi-source environmental signals (weather station networks, USGS stream gauges, NWS alerts) and surfaces threshold crossings indicating escalating hazard conditions before formal warnings are issued.
  • FloodGrid AI™ Flood inundation modeling product that generates probabilistic flood extent projections across defined geographic areas, updated as storm track and intensity data evolve. Outputs calibrated against FEMA SFHA boundaries and historical surge records.

Quantifiable outcome

  • Returns compound: every disaster makes the next one safer, cheaper, and more effective when guided by ResilientIQ™

Companies that use AI for Natural Disasters

Customer profile

Segments3 records

Ideal customer profiles3 records

AI for Natural Disasters technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature4 records

AI for Natural Disasters partnerships and signals

Strategic signal

Recent moves5 records

Expansion highlights5 records

AI for Natural Disasters competitors and assessment

Company assessment

Direct peers

  • Dataminr: Dataminr aggregates real-time public signals (news, social, sensors) to surface breaking events for enterprise and public-sector response teams. Comparable to AIND's Watchtower in applying multi-source signal aggregation and threshold detection for early-warning use cases.
  • Jupiter Intelligence: Jupiter Intelligence builds climate-risk analytics and physical-risk models for physical assets under climate scenarios. It overlaps with AIND's predictive hazard modeling and shares the same enterprise/government buyer for catastrophe risk analytics.
  • One Concern: One Concern provides AI-driven resilience analytics for natural disasters (earthquakes, floods, wildfires) at city and infrastructure scale. It is directly comparable to AIND's Terra Vigil and FloodGrid AI as a probabilistic hazard-modeling platform sold into emergency-management and public-sector buyers.
  • Zesty.ai: Zesty.ai uses AI and aerial/satellite imagery to quantify climate and natural-disaster risk for property and infrastructure. Comparable to AIND's FloodGrid AI in applying machine learning to FEMA-style data for risk modeling, but with a longer commercial track record in insurance/real estate.
  • Tomorrow.io: Tomorrow.io provides weather and climate intelligence as an API for operational decision-making, including severe-weather alerting and risk monitoring. Comparable to AIND's Watchtower and Terra Vigil as an enterprise weather/hazard data platform serving public-sector and commercial users.

Emerging players

  • Planet Labs: Planet Labs supplies daily satellite imagery used for disaster-damage assessment, wildfire, and flood mapping by humanitarian and government response teams. Partially overlaps with AIND's Terra Vigil as a remote-sensing data layer for emergency response, but does not provide knowledge retrieval or operational guidance.
  • Veoci: Veoci is a no-code emergency-management and crisis-response platform used by EOCs and universities to coordinate incidents. Comparable to AIND as an emerging player addressing EOC workflows, though it focuses on operations software rather than domain-trained AI knowledge retrieval.

Broad incumbents

  • Esri: Esri's ArcGIS platform is the dominant GIS system of record inside FEMA, state EOCs, and county emergency-management agencies, with deep integration into federal workflows. A broad incumbent that overlaps with AIND's hazard-mapping and incident-support functionalities even though its core is GIS rather than AI knowledge retrieval.
  • Palantir Technologies: Palantir's Foundry and Gotham platforms power federal emergency-management and disaster-response analytics with deep deployment at FEMA, USACE, and state agencies. It is a broad incumbent that competes with AIND for the same enterprise AI budget even though it does not specialize in emergency-management knowledge retrieval.
  • Microsoft (Azure for Government): Microsoft's Azure cloud and government AI services (including Azure OpenAI for Government) underpin much of the federal disaster-response and emergency-management technology stack. Comparable as a broad incumbent whose general-purpose AI and Azure Government platform compete for the same buyers and procurement vehicles AIND targets.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

AI for Natural Disasters financial estimates

Financial estimate

Revenue estimate

Valuation estimate

AI for Natural Disasters leadership team

Management profile

Number of profiles

Profiles2 records

AI for Natural Disasters funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

AI for Natural Disasters M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about AI for Natural Disasters

What does AI for Natural Disasters do?

AI for Natural Disasters builds an integrated AI-driven disaster management platform for emergency management professionals. The flagship product ResilientIQ™ is a domain-trained knowledge engine that answers emergency management questions with inline-cited guidance from authoritative U.S. agencies (FEMA, DHS, DoD, NOAA, USGS, CDC) and academic research. The company complements it with Terra Vigil™ real-time hazard modeling, Watchtower™ signal monitoring, and FloodGrid AI™ flood inundation projection.

Is AI for Natural Disasters a public or private company?

AI for Natural Disasters is a private company. It is classified as corporate owned and is currently operating.

When was AI for Natural Disasters founded?

AI for Natural Disasters was founded in -1. It employs 1 to 10 people.

Who are AI for Natural Disasters's main competitors?

Direct peers on record are Dataminr, Jupiter Intelligence, One Concern, Zesty.ai and Tomorrow.io. Emerging players are Planet Labs and Veoci. Broad incumbents are Esri, Palantir Technologies and Microsoft (Azure for Government).

Does AI for Natural Disasters have an API?

No public API is recorded for AI for Natural Disasters.

What industry is AI for Natural Disasters in?

AI for Natural Disasters's product category is Emergency Management Software. Its primary akta.pro industry code is BPAIAGAE, Emergency Management & Disaster Response (EOC, Civil Defense), with a secondary code of HLAJAGAB, Disaster Response Coordination & Incident Command (EOC/ICS). Its NAICS code is 54151 and its SIC code is 7373.

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