Physics-based flood propagation modeling across infrastructure, portfolios, and capital systems. Forward-predicts compound flood impact before it arrives.
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.
Different intelligence for different decision-makers. Select your sector.
FEMA maps are boundary-based and static. They miss rain-driven urban flooding — the mechanism behind most damage. Flood Dynamics fills that gap with physics-based, asset-level simulation.
Legacy maps underestimate inland losses. Urban flood risk is structurally mispriced — event-based simulation changes what's possible in underwriting.
Roads, drainage, and utilities cascade when they fail. Flood Dynamics models interdependencies and simulates propagation — giving operators pre-event intelligence, not post-event analysis.
Portfolio flood scoring is coarse and backward-looking. As TCFD and Basel physical risk frameworks demand more rigor, institutions need physics-derived, forward-looking signals at the asset level.
FEMA floodplain maps miss over 80% of actual flood events — the rain-driven pluvial events that accumulate on-site and breach ground-floor infrastructure. Physics-based depth and duration modeling gives operators the lead time to act.
Asset-level flood intelligence for capital planning, FEMA gap analysis, and Federal grant compliance.
Event-based loss modeling that surfaces the inland flood risk legacy maps systematically miss.
Cascade failure modeling and pre-event scenarios for roads, drainage, and utility networks.
Physics-derived flood exposure signals for loan books, ESG, and regulatory disclosure.
Site-level flood depth, duration, and impairment threshold modeling for uptime-critical facilities.
Real-world deployments with cities, institutions, and utilities
Flood Dynamics uncovered exposure we had no tools to see before. The asset-level outputs changed how we planned our capital budget for the next five years.
The simulation gave us a clear picture of cascading failure sequences we hadn't modeled. Pre-event protocols we designed from those outputs were used in the next storm event.
The depth and duration modeling directly informed our insurance coverage strategy. Premiums reduced by millions — and we have the documentation to back every decision.
Winner, 2026 MIT Energy Conference Innovators Forum Breakthrough Technology Prize — recognized for advancing physical risk intelligence to secure energy infrastructure and build resilient communities worldwide.
See Press →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 MIT, led by engineers with deep expertise in hydrology, infrastructure systems, and computational modeling.
We model how physical risk propagates through the built environment — delivering physics-grade intelligence the institutions that depend on infrastructure can act on.
Capital-grade physical risk intelligence. Engineered for the precision that financial decision-making demands.