---
title: "Property Underwriting on Steroids"
description: "Geospatial analytics and AI for modern insurance underwriting. Improve your loss ratio with 300+ data points per property across 35+ countries."
url: https://www.urbanstat.com/
type: Home page
publisher: UrbanStat
---

Geospatial intelligence for insurance

# Underwriting, reinvented.

Smarter risk selection, portfolio analytics, and hazard monitoring powered by location intelligence.

- **300+** Data points per property
- **35+** Countries covered
- **20+** Underwriting modules

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

*Sample card (illustrative values):* Wildfire risk score: 82 / 100 High risk. Wildfire: High; Flood: Low; Slope: Moderate; Wind: Low.

*Sample location:* Santa Clarita, CA (34.3917° N, 118.5426° W)

*Illustration: A map of suburbs meeting wildland hills, with wildfire, flood, slope and wind data layers above it*

Trusted by leading insurers worldwide

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

Platform

## Property underwriting, connected.

Geospatial intelligence for portfolio analytics, risk selection, and pricing in one platform.

*Illustration: Three plates stacked from wide to narrow: the whole portfolio at the bottom, a group of submissions in the middle, and one priced property on top*

### One Stop Shop

From portfolio-level analytics to transaction-level risk selection and pricing. One platform for property underwriting in personal and commercial lines.

*Illustration: Three regional map tiles, Canada, the United States and Europe, under a single continuous data layer*

### Global Data Coverage

Over 300 data points for every property in the US, Canada, and Europe. A single platform to manage portfolios across borders.

*Illustration: A core system plate on the left connected to an UrbanStat layer stack on the right through three connectors: database, file and API. Below, four week markers*

### Easy Integration

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

Inside UrbanStat

## A clearer view of risk.

From portfolio-level heatmaps to property-level risk scores, all in one interface.

*Illustration: City blocks seen from above; the buildings where exposure concentrates stand out in blue*

Portfolio view

Exposure Management

Go beyond ZIP codes. See exposure street by street.

[Read more](https://www.urbanstat.com/products/exposure-management/)

*Illustration: One home with its data layers stacked above it: fire, wind, flood and more*

300+ data points

Risk Selection

Property-level intelligence for fire, wind, flood, and more.

[Read more](https://www.urbanstat.com/products/risk-selection/)

Coverage & scale

## Property intelligence at scale.

Location data and portfolio analytics across borders.

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

Get started

## See your underwriting in a new light.

Explore portfolio analytics, risk selection, and hazard monitoring with UrbanStat.

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

---

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

- Page: Property Underwriting on Steroids. Type: Home page. Publisher: UrbanStat (Urbanstat, Inc.), a vendor of geospatial analytics software for property insurers.
- This is the Markdown copy of https://www.urbanstat.com/ (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/