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Insurance

Enabling carriers and reinsurers to seamlessly integrate geospatial data into their decision making

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Streamlined Data and Analytics

The Next Geospatial Digital Transformation in the Insurance Industry

The insurance industry is experiencing a surge in growth opportunities as new ways of integrating geospatial data into underwriting and claims processing are increasing efficiency, faster payouts, and better customer service.

Today’s most well known and widely used legacy insurance solutions were founded in the 1970s and 1980s; they pioneered the first digital transformation in insurance with digital databases in the 1990s.


The current, second wave of geospatial transformation is marked by breakthroughs in AI, machine learning, and the commercial space industry. Descartes Labs' solutions integrate massive amounts of geospatial data through robust ingest pipelines that make working with complex data faster and easier than ever before. Insurance carriers are armed with the latest, most accurate information for better decision-making.

Easy to access, easy to use geospatial data

Property

Flooding

Climate

Wildfire

Imagery

Weather

Terrain

and more...

Ascend + Iris

Explore our suite of products for the insurance industry

Discover products that bring geospatial insights directly to the hands of insurers.

Ascend

A visualization engine built for insurers makes geospatial data and insights accessible to all.

Learn more →

Iris

InSAR based deformation monitoring enables insurers to monitor subsidence trends. 

Learn more →

Making Spatial Data Useful

DL_Insurance_Ingest to Insight

Challenges

Barrier to Entry

There is an overwhelming amount of geospatial data and it requires unique expertise to be usable.

Legacy Systems

Data is advancing faster than insurance carriers can consume it due to a reliance on legacy systems.

Long Wait Times

Insurance carriers experience long wait times to access post-catastrophe data.

Multiple Contracts

Insurance carriers hold many contracts with many providers for underwriting and claims data.

Coverage Gaps

Insurance carriers experience coverage gaps and lack of granularity for underwriting data.

Poor Location Accuracy

Carriers’ property location data is often inaccurate making geospatial analysis difficult.

Solutions

Market Knowledge

We work with many providers and leverage state-of-the-art machine learning to recommend different solutions based on a carrier's unique needs.

Modern Technology for New Geospatial Data

Our tech stack enables us to work with a wide variety of modern data sources and formats. 

Faster Data Access

We provide insurance carriers with empirical post-catastrophe data within 24-48 hours after data collection.

One Contract

We handle the data acquisition process to flow data from multiple sources, so carriers only need to handle a single contract—with us.

Full Coverage for Underwriting Data

We address data gaps and provide insurance carriers with the necessary data to make more informed underwriting and claims decisions.

Improved Location Accuracy

Geolocation services increase the location accuracy of a carrier's assets by at least 50%.

Industry Challenges

Industry Solutions

Barrier to Entry

There is an overwhelming amount of geospatial data and it requires unique expertise to be usable.

DL_Double right arrow_gradient

Market Knowledge

We work with many providers and leverage state-of-the-art machine learning to recommend different solutions based on a carrier's unique needs.

Legacy Systems

Data is advancing faster than insurance carriers can consume it due to a reliance on legacy systems.

 
DL_Double right arrow_gradient

Modern Technology for New Geospatial Data

Our tech stack enables us to work with a wide variety of modern data sources and formats.

Long Wait Times

Insurance carriers experience long wait times to access post-catastrophe data.

DL_Double right arrow_gradient

Faster Data Access

We provide insurance carriers with empirical post-catastrophe data within 24-48 hours after data collection.

Multiple Contracts

Insurance carriers hold many contracts with many providers for underwriting and claims data.

DL_Double right arrow_gradient

One Contract

We handle the data acquisition process to flow data from multiple sources, so carriers only need to handle a single contract—with us.

Coverage Gaps

Insurance carriers experience coverage gaps and lack of granularity for underwriting data.

DL_Double right arrow_gradient

Full Coverage for Underwriting Data

We address data gaps and provide insurance carriers with the necessary data to make more informed underwriting and claims decisions.

Poor Location Accuracy

Carriers’ property location data is often inaccurate making geospatial analysis difficult.

DL_Double right arrow_gradient

Improved Location Accuracy

Geolocation services increase the location accuracy of a carrier's assets by at least 50%.

ascend_insurance_location_accuracy

Above: ​Original carrier policy location showed no flooding but the corrected geocoded location shows 0.92m of flooding. The blue layer is Iceye flood data from Hurricane Ian. The difference between the two locations was 114 meters. The problem was due to error in original geocoding which put location on road in front of building.

Harness earth observation data to revolutionize the insurance lifecycle.

Talk to an expert to learn how you can easily access and use geospatial data.