AI for a more resilient tomorrow

AI for the full flood intelligence lifecycle.

From understanding the building, to visualizing the hazard, reconstructing what happened, and translating flood depth into real-world consequence. Urban Reality combines geospatial data, computer vision, generative AI, and real-world imagery to make smarter decisions, reduce risk, and build stronger communities.

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Visualize. Monitor. Simulate. Assess.

Understand Flood Risk Across the Entire Lifecycle

Develop More Resilient and Safer Communities

Save Time with a Single, Unified Platform

Make Smarter Decisions with Greater Confidence

CLEAR™

Elevation extraction

From geospatial data to building intelligence.

CLEAR™ transforms high-resolution imagery into accurate, scalable 3D building data — automatically. It extracts precise, property-level elevations using patented AI and computer vision, creating a consistent, LiDAR-like dataset without the cost, time, or complexity of traditional surveys. Empower your organization with reliable, comprehensive elevation data to reduce risk and build more resilient communities.

Why CLEAR™ wins

Precise & Scalable

Accurate elevation data at massive scale

Pixel-to-Property

Transforms imagery into property-level 3D data

Buildings & More

Extracts buildings, ground and water surfaces, and more

Any Data Source

Works with satellite, aerial, or drone imagery

Cost-Effective

Delivers LiDAR-like accuracy without the cost or complexity

Reliable & Consistent

Nationwide coverage for analysis and modeling with confidence

CLEAR in action — from mobile LiDAR capture to per-building elevation extraction.

HydroMind

Compound flood prediction

Better forecasts. Greater confidence.

HydroMind combines atmospheric data, machine learning and physical hydrodynamic modeling to deliver fast, accurate flood forecasts — so communities can plan, respond and invest with confidence.

A rain cloud above stacked model layers showing predicted flood intensity

Key benefits

High-resolution precipitation forecasting

Physics-informed, AI-enhanced models

Faster what-if scenario testing

Actionable insights for emergency preparedness

Generative Flood Vision

Physics-based visualization

Turn flood depth into something people can see.

Generative Flood Vision converts flood depth data from any model into realistic, location-specific visuals. Trained on millions of real-world images, it shows what flooding looks like at any depth — helping communities, insurers, and decision-makers understand risk, communicate clearly, and take action. From “what if” scenarios to post-event visualization, it brings flood data to life with unmatched realism and speed, turning complex data into powerful insight.

The same house rendered at six different flood depths, from 0.5 ft to 10 ft

AI-powered visualizations for any flood depth, location, or scenario.

From model output to visual reality.

Input

Flood depth (from any hydraulic model: HEC-RAS, TRITON, or other)

Generative AI

Output

Realistic, location-specific visuals for communication, planning, training, and more

Enable smarter decisions

Risk Communication

Help stakeholders quickly grasp the real-world impact

Planning

Support land use, building code, and infrastructure planning

Emergency Preparedness

Visualize potential scenarios before they happen

Public Engagement

Improved transparency builds trust and accelerates action

Every Photo a Sensor

LLM flood reconstruction

If someone captured the flood, we can learn from it.

Every Photo a Sensor (EPAS) uses generative AI to turn everyday photos and videos into flood intelligence. By analyzing visual clues — like water lines, debris, and surroundings — EPAS reconstructs flood depth, location, and context with remarkable accuracy. It works with crowdsourced, historical, or real-time imagery, giving you a faster, more complete picture of what happened — and helping communities respond and recover more effectively.

Sourced street-level photographs processed by a multi-modal LLM into a geo-referenced flood-level reconstruction, with a calibration chart showing the flood level in the image

Turn real-world imagery into actionable insight

Expands Data Coverage

Use crowdsourced and historical imagery

Real-World Context

Understands visual clues beyond raw data

Faster Insights

Accelerates post-event analysis and response

More Resilient Communities

Helps identify vulnerable areas and improve preparedness

Impact Risk Layer

Hazard-to-consequence intelligence

Go beyond water depth.

The Impact Risk Layer translates flood hazards into real-world consequences — showing estimated damage to buildings, infrastructure, and communities across different flood scenarios. Built on industry-standard methods like HAZUS and enhanced with proprietary data, it delivers consistent, scalable risk insights to support smarter investment, planning, and resilience decisions.

A house above stacked layers labelled buildings, people, infrastructure, agriculture and environment

Put risk into real-world context

Property Damage

Estimate structural and content losses

People & Vulnerable Populations

Identify those at greatest risk

Critical Infrastructure

Assess impacts to transportation, utilities, and essential services

Environmental Impacts

Understand broader community and ecosystem effects

From pixel to policy.

Urban Reality turns geospatial data, flood models and real-world imagery into intelligence for more resilient decisions.

Acquire

Multi-source data (satellite, aerial, ground)

Visualize

Real-world flood conditions (generative AI)

Analyze & Assess

Risk, impact & resilience (analytics & AI)

Act

Smarter decisions, stronger communities