Physics-based flood propagation modeling across infrastructure, portfolios, and capital systems.
Flood exposure is not static. It propagates across terrain and infrastructure in time-evolving sequences that static boundary models cannot capture.
Interdependencies between infrastructure nodes amplify impairment across interconnected systems — cascading failure that point-in-time models fundamentally miss.
Only Flood Dynamics models rain, coastal, and riverine floods together — at asset level, in motion.
Over 80% of flood events are rain-driven — yet virtually every traditional model is built around coastal and riverine boundary zones, leaving the dominant flood mechanism almost entirely unmodeled.
Real-world deployments with cities, institutions, and utilities
Flood Dynamics was named the winner of the 2026 MIT Energy Conference Innovators Forum Breakthrough Technology Prize — recognized for advancing physical risk intelligence to secure energy infrastructure and build resilient communities worldwide.
“We’re honored to be named the 2026 MIT Energy Conference Innovators Forum Breakthrough Technology Prize winner. Thank you to the MIT Energy Conference team for recognizing our work. We’re excited to contribute to securing the energy future and building resilient resources for communities worldwide.”
Flood Dynamics selected to represent U.S. climate innovation in TMA BlueTech’s 2026 Trade Mission — joining leading maritime innovators shaping the future of coastal and port resilience across Southeast Asia, in partnership with the U.S. Department of Commerce.
MIT and NEORSD engineers presented Flood Dynamics’ scalable data-driven pluvial modeling at Autodesk University — demonstrating real flood event prediction across Cleveland and Cambridge using 1D/2D hydrodynamic models.
Flood Dynamics represented MIT-born innovation in climate resilience at the C40 Cities Summit in Rio de Janeiro, showcasing AI-driven flood modeling and risk intelligence to global city leaders advancing climate action at COP30.
Flood Dynamics was developed at the Massachusetts Institute of Technology (MIT) and is led by MIT engineers with backgrounds in hydrology, infrastructure systems, and computational modeling.
We build advanced simulation systems that model how physical risk impacts the built environment and the institutions that depend on it.
Our mission is to make forward-looking physical exposure measurable for institutions that rely on infrastructure stability.
Capital-grade physical risk intelligence. Engineered for the precision that financial decision-making demands.