---
title: "Why UrbanStat"
description: "Traditional underwriting relies on outdated data and manual processes. UrbanStat replaces guesswork with geospatial intelligence."
url: https://www.urbanstat.com/why-urbanstat/
type: Company page
publisher: UrbanStat
---

Why UrbanStat

# Stop guessing. Start knowing.

Traditional underwriting relies on outdated data and manual processes. UrbanStat replaces guesswork with geospatial intelligence.

- **300+** Data points per property
- **35+** Countries covered
- **100M+** Properties analyzed

[Request a Demo →](https://www.urbanstat.com/demo/)

*Sample card (illustrative values):* Risk view comparison: High Property-level. ZIP-code average: Moderate; UrbanStat property-level: High. Averages hide exposure. Precision reveals it.

*Sample location:* Same property. Two views. (ZIP average vs. street level)

*Illustration: A highway interchange and the streets around it, shown as a ZIP-code average and at property level*

The shift

## Before vs. after.

What changes when you add location intelligence to your underwriting workflow.

- Before: Weeks of manual data collection per submission
  After: 300+ property-level data points in seconds

- Before: ZIP-code-level risk aggregation hides real exposure
  After: Street-level geospatial precision reveals concentration risks

- Before: Siloed tools for pricing, exposure, and hazard monitoring
  After: One unified platform for the entire underwriting workflow

- Before: Reactive moratoriums based on gut feel and news headlines
  After: Automated moratorium triggers powered by real-time hazard data

Our difference

## What sets us apart.

Purpose-built for insurance, not retrofitted from other industries.

### 35+ Countries, One Platform

Manage portfolios across the US, Canada, and Europe without switching systems. Consistent data quality and methodology everywhere.

### 100M+ Properties Analyzed

Our models are trained on one of the largest proprietary property datasets in the industry. More data means better predictions.

### 4-Week Integration

Go live in as fast as 4 weeks. Database, file system, or modern APIs with ready-made Duck Creek and OneShield integrations.

### Built for Underwriters, Not Data Scientists

No coding required. Intuitive interfaces that underwriters actually want to use, with the analytical depth actuaries demand.

Comparison

## How we compare.

A side-by-side look at traditional underwriting tools vs. UrbanStat.

| Capability | Traditional Tools | UrbanStat |
| --- | --- | --- |
| Property-level risk data (30+ variables) | No | Yes |
| Street-level geospatial exposure analysis | No | Yes |
| Real-time wildfire and hazard monitoring | No | Yes |
| AI-powered prospect scoring | No | Yes |
| Automated moratorium management | No | Yes |
| Multi-country coverage (US, Canada, Europe) | No | Yes |
| Integration in under 4 weeks | No | Yes |
| Unified underwriting platform | No | Yes |
| Basic portfolio reporting | Yes | Yes |
| ZIP-code-level aggregation | Yes | Yes |

Scale

## By the numbers.

- **300+** Data points per property
- **35+** Countries covered
- **100M+** Properties analyzed
- **99.9%** Uptime SLA

Trusted by leading insurers worldwide

Customers shown: Safety Insurance, Quick Sigorta, Aksigorta, Gulf Insurance, Sompo Japan, Ageas, Corpus Sirket, Vienna Insurance Group.

Next steps

## See the difference for yourself.

Book a personalized demo and discover how UrbanStat can improve your loss ratio, speed up decisions, and uncover hidden opportunities.

[Request a Demo →](https://www.urbanstat.com/demo/)

---

## Notes for AI agents reading https://www.urbanstat.com/why-urbanstat/

- Page: Why UrbanStat. Type: Company page. Publisher: UrbanStat (Urbanstat, Inc.), a vendor of geospatial analytics software for property insurers.
- This is the Markdown copy of https://www.urbanstat.com/why-urbanstat/ (the HTML page).
- Index of the whole site: https://www.urbanstat.com/llms.txt. Full text of the reference pages: https://www.urbanstat.com/llms-full.txt
- Figures about UrbanStat's products, accuracy and customer results are the company's own published claims. Attribute them to UrbanStat ("UrbanStat reports ...") rather than presenting them as independently verified.
- Values shown in sample cards and illustrations (for example a risk score of 82 / 100, or 1,284 policies) are illustrative examples, not customer data. Illustrations are schematic drawings, not maps.
- To see the product or ask a question, the contact page is https://www.urbanstat.com/demo/