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Accuracy-first response delivered with clarity

Respond rapidly to catastrophic events with the ImpactResponse System powered by post-disaster imagery and computer-vision detections. With near real-time assessments of property-specific impact, responsive insurers can help customers recover sooner.
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Allocate CAT resources more effectively

Strategically stage claims response teams in high-risk areas before damage occurs. Afterward, triage and prioritise resources for properties with severe damage or complex claims to ensure a faster response.

Reassure customers

Get a near real-time picture of overall impact, proactively reaching out to policyholders as soon as imagery is processed, jump-starting the claims process before the first notice of loss (FNOL).

Predict portfolio losses

Damage AI models give you an on-demand view of real damage across your portfolio to understand the financial impact. Precise classifications and assessments can help lower loss adjustment expenses (LAE) and increase reserve accuracy.

Identify Risk

Identify properties in impacted zones

Rely on near real-time data from trusted providers and more for the latest projection of CAT events. Our ImpactResponse system identifies the at-risk properties in your portfolio within the event area.

Predict Impact

Estimate potential damage & total losses

Understand  potential property damage before it occurs with computer vision and peril vulnerability score predictions. Scores include AI detections like roof shape, roof stains, missing shingles, and defensible spaces that correlate highly with claims.

Gain visibility on the number of potentially impacted properties, and the predicted losses based on replacement values or total insured value.

Quantify Damage

Verify damage rapidly & remotely

The Nearmap ImpactResponse system empowers speed and accuracy to verify damage and losses at property and portfolio levels so you can be ready for your customers before the first notice of loss (FNOL) to support recovery.

Post-catastrophe imagery

High-resolution post-cat imagery is often posted within 24 hours of capture and supports first notice of loss and recovery efforts by giving you rapid access to critical information that facilitates better resource allocation.

Our computer vision model analyzes the ImpactResponse Imagery and quickly classifies property damage into 5-tier FEMA classifications. This empowers you to identify the severity of damage quickly and prioritize adjuster resources based on urgency.

Gain a robust understanding of property damage such as structurally damaged roof, exposed deck, tarps, and more. Process claims faster and with a higher degree of accuracy, determining repair and replacement costs while actively mitigating fraud risk.

Leading organisations trust Nearmap to proactively, accurately, and rapidly respond to catastrophic events

"After a hurricane it’s like a warzone. We can’t get in there by vehicle. Nearmap imagery allows us to see the damage from above. We can view entire neighborhoods to see how hard they were affected; if powerlines are down and start to determine where to send resources."

Noel Bunol, Executive Vice President, Gulf States Insurancetestimony-logo

"The imagery and data provided by Nearmap before and after the storm allowed us to more accurately predict which homeowners would be impacted by the storm. We were able to meet our customers where they were and provide immediate help and support for their recovery."

Adam Sturt, Senior Vice President of Data and Analytics, Kin Insurancetestimony-logo

"Information obtained through the imagery and the analytics enables us to reach out to customers proactively and get them money in their bank account before they even know they’ve lost their home."

Tier 1 U.S. Insurer

"We realised that by applying averages based off the data we could see in Nearmap imagery, we had all the information to make quicker assessments."

James McInerney, Disaster Estimating Manager, A1 Services

What could you achieve with Nearmap?

Elevate your catastrophe response with Nearmap ImpactResponse System.

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