Aerial view of coastal wetlands and a shoreline community

About Urban Reality

Born from research. Built for real-world resilience.

Urban Reality transforms advanced research in LiDAR, geospatial AI, hydrology and flood science into practical intelligence for communities, infrastructure owners, engineers and insurers.

Research. Technology. Real-world impact.

Our story

From university research to real-world impact.

Urban Reality grew out of decades of university research focused on using LiDAR, computer vision and geospatial data to better understand the built environment.

Through field data collection and flood-resilience research in New Jersey communities, the team saw a persistent problem: critical building-level elevation data was expensive, incomplete or unavailable at scale.

That research became the foundation for a bigger idea: what if advanced sensing, AI and flood science could make building-level resilience intelligence accessible at community scale?

Urban Reality was created to take that science beyond the lab and put it into the hands of the people making real-world decisions.

University Research

LiDAR + field research

The Discovery

A critical building-level data gap

The Technology

AI + geospatial intelligence

Urban Reality

Science translated into action

Why we exist

Better decisions start with better understanding.

Flood risk doesn’t stop at a flood-zone boundary. It is shaped by rainfall, hydrology, terrain, buildings, infrastructure and the people and systems that depend on them. We believe resilience decisions should be informed by data that reflects that reality.

Precipitation

Extreme rainfall and climate change

Hydrology

Runoff, riverine and coastal flooding

Flood Hazard

Extent, depth and frequency

Built Environment

Buildings and infrastructure

Impact

Damage, disruption and economic loss

Decision

Mitigation, planning, insurance and climate finance

Urban Reality brings these layers together — from pixels to policy.

Our science

One problem. Multiple disciplines.

Integrating complementary expertise to deliver a more complete and actionable understanding of flood risk.

Geospatial AI

LiDAR
Computer Vision
Remote Sensing
Digital Twins

Transforming real-world data into high-resolution, building-level intelligence.

Building Intelligence

FFE
FFH
Building Characteristics
Infrastructure

Detailed, scalable building data to support risk assessment and planning.

Hydrology & Climate

Rainfall
Hydrologic Modeling
Flood Frequency
Climate Extremes

Connecting climate and water systems to understand where risk comes from.

Flood Forecasting & Risk

Flash Floods
Early Warning
Impact Forecasting
Loss & Resilience

From hazard to impact, enabling proactive and informed decision-making.

The people behind Urban Reality

Different perspectives. One common purpose.

Company Leadership

Prarthana Raja, Ph.D.

Prarthana Raja, Ph.D.

Co-Founder & CEO

Product
Flood Resilience
Strategy

Leads company strategy, product development and partnerships, translating building-level climate intelligence into real-world decisions.

Yaocheng Wu

Yaocheng Wu

Director of Technology

AI
LiDAR
Computer Vision

Leads the development of AI and computer-vision methods for extracting building intelligence from geospatial data.

Jiahao Xia, Ph.D.

Jiahao Xia, Ph.D.

Director of R&D

Digital Twins
Geospatial AI
R&D

Drives research and innovation in digital twins, 3D geospatial analysis and building-level elevation modeling.

Scientific Advisory Board

Jie Gong, Ph.D.

Jie Gong, Ph.D.

Founding Scientific Advisor

Professor, Rutgers University

LiDAR
Computer Vision
Digital Twins
Infrastructure

Pioneer in 3D geospatial AI and built-environment modeling.

Efthymios I. Nikolopoulos, Ph.D.

Efthymios I. Nikolopoulos, Ph.D.

Scientific Advisor — Hydrology & Climate Risk

Associate Professor, Rutgers University

Hydrology
Flood Modeling
Remote Sensing
Climate Extremes

Expert in hydrology and climate extremes, linking water systems to real-world risk.

Humberto Vergara, Ph.D.

Humberto Vergara, Ph.D.

Scientific Advisor — Flood Forecasting & Early Warning

Assistant Professor, University of Iowa

Flash Flood Forecasting
Hydrologic Modeling
Early Warning
Impact Forecasting

Expert in flash-flood forecasting and operational flood intelligence.

From research to deployment

500,000+

homes mapped and analyzed

8,000+

comparisons against elevation certificates

2–3 in.

reported validation accuracy*

*RMSE; varies by region and data source.

Research is where we started. Real-world impact is where we’re going.

Our work combines rigorous research with scalable technology designed for deployment across communities and infrastructure systems.

Our mission

Make resilience intelligence accessible at scale.

To transform complex environmental and built-environment data into actionable intelligence that helps communities understand risk, prioritize resilience and make better decisions.

Our vision

A future where every building can be understood in context.

Where climate, flood, infrastructure and building data come together to create a clearer picture of risk — and a more resilient future.


People. Science. Impact.