

We save lives and money by creating AI products that holistically support Global Disaster Management

About Us
AI for Natural Disasters is at the forefront of harnessing advanced artificial intelligence to address one of humanity's most critical challenges—natural disasters. Our mission is to develop cutting-edge AI products that power global disaster management, designed to save lives and mitigate economic losses. By leveraging multimodal machine learning, we integrate diverse data sources such as historic disaster data, satellite imagery, weather patterns, language data, and reanalysis maps to deliver real-time insights and predictions. AI for Natural Disasters empowers communities, governments, and organizations worldwide to prepare for and respond to natural disasters with unparalleled accuracy and speed, fostering resilience in the face of nature’s most unpredictable events.
OUR NATURAL DISASTER AI TEAM

Chief Executive Officer
CEO of Flamelit - a Data Science and AI/ML consultancy. Former Chief Growth Officer at Fearless. Formally CTO and U.S. Digital Services Lead at the EPA. Greg was the first Executive Director and Co-Founder of 18F, a 2013 Presidential Innovation Fellow, and Day One Accelerator Fellow. BA Economics Business, a MSMIT from UVA, and MSBAi from NYU.

Chief Operations Officer
CAIO/CTO of Flamelit - a Data Science and AI/ML consultancy. Tom brings deep expertise at the intersection of AI, economics, and public sector innovation to his role as COO at AI for Natural Disasters. A proven leader in applied data science and strategic AI deployment, he specializes in building scalable solutions that drive resilience, rapid response, and informed decision-making in high-stakes environments.
Advisor
Assistant Professor at NYU Stern School of Business in Abu Dhabi. PhD from Massachusetts Institute of Technology. Thesis: "Multimodal Machine Learning for Climate Adaptation"
Save Lives and Money with
Natural Disaster AI
Floods, Hurricanes, Pandemic, Wildfires, Extreme Weather, Earthquakes, and Storms
Our research focuses on leveraging artificial intelligence to drive climate adaptation and sustainable development. We specialize in forecasting and managing extreme weather events, utilizing multimodal machine learning to enhance predictions for hurricanes, floods, and near-term wind conditions. Additionally, we apply AI to optimize flood insurance pricing, ensuring more accurate risk assessment and improved financial resilience for impacted communities.


