Flood intelligence, atmosphere to asset.
Most flood models tell you the water level.We tell you what floods.
Urban Reality combines geospatial data, AI modeling, and real-world imagery to deliver building-level intelligence — showing which structures are threatened and what the impact means.
Conventional flood intelligence stops at the hazard.
We connect hazard to building-level consequence so you can see the bigger picture.
From atmosphere to asset
A connected view of flood risk.
Urban Reality brings together atmospheric data, AI modeling, hydraulic intelligence and real-world imagery to deliver building-level insights for a more resilient tomorrow.
01 — Atmosphere
Rainfall forcing & downscaling
Improve satellite and NWP observations and forecasts, enhance spatial resolution, apply AI/ML to improve infrared satellite measurements, and characterize precipitation uncertainty where ground gauges are sparse.
02 — Model
AI surrogate models
Deep neural emulators using U-Net and Graph Neural Network architectures reproduce complex hydrodynamic simulations much faster for live warning and what-if scenarios.
03 — Ground
Flood impact risk intelligence
Translate hydraulic outputs into dynamic, building-level risk indicators using elevation, building characteristics and property-level vulnerability.
04 — Street
Human-readable scenarios
Turn depth information into accurate street-level visuals to support planning, emergency preparedness, public communication and engagement.
Our products
Five products. One connected flood intelligence platform.
From atmospheric modeling to real-world impact, our products work together to deliver end-to-end flood intelligence.
CLEAR™
Elevation extraction
Extracts flood-relevant building information — especially First Floor Elevation — from multi-source geospatial data.
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HydroMind
Compound flood prediction
Grounded in physics, powered by AI. Combines atmospheric data, machine learning and hydrodynamic modeling to deliver fast, accurate flood forecasts.
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Generative Flood Vision
Diffusion-based visualization
Converts flood depth from regulatory maps or hydraulic models (e.g., HEC-RAS, TRITON) into realistic, location-specific street-level flood scenarios.
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Every Photo a Sensor
LLM flood reconstruction
Reconstructs and geolocates flood conditions from photographs — including existing cameras, crowdsourced and historical imagery.
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ClearImpact
Hazard-to-consequence
Combines hydraulic hazard with building intelligence to create realistic, building-level risk indicators and property-level impact intelligence.
Learn moreThe Urban Reality platform
From data to decisions.
We transform existing geospatial, model and real-world imagery into decision-ready, building-level intelligence — so communities can plan, respond and invest with greater confidence.
Building-level intelligence outputs
Building features (doors, windows, garages, etc.)
First Floor Elevation (FFE)
Foundation Height (FFH)
Ground Elevation
Flood vulnerability / property-level risk
AI modeling
Physics-informed intelligence at decision speed.
Our AI surrogate models emulate complex numerical hydrodynamic solvers. U-Net architectures capture spatial inundation patterns, while Graph Neural Networks with temporal modeling capture network connectivity and dynamics — enabling faster scenario analysis and real-time flood intelligence.
A more resilient tomorrow
From pixel to policy.
Urban Reality turns geospatial data, flood models and real-world imagery into intelligence for more resilient decisions.
Stronger Communities
More Resilient Infrastructure
A Safer Tomorrow