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Description

LexisNexis® Attract™ scores empower insurance providers to effectively and precisely categorize policyholders and applicants based on their risk levels, resulting in enhanced underwriting processes. With the introduction of Attract™ 5.0, these carriers gain access to the most advanced predictive models available to date. For over twenty years, LexisNexis Risk Solutions has been instrumental in refining rating, pricing, and underwriting decisions across the insurance sector. These innovations encompass home, auto, and commercial insurance markets. The Attract™ suite of scores is built on principles of superior loss prediction, adherence to regulations, and straightforward integration, all aimed at boosting business outcomes. The latest iteration, Attract™ 5.0, further enhances the capacity of carriers to leverage consumer credit data, ultimately leading to even greater underwriting efficiency and accuracy. This development marks a significant step forward in the insurance industry's ability to assess risk with precision.

Description

In recent decades, extreme wildfire conditions have surged by 50% as a result of climate change, leading to a staggering $31 billion in property damages. Consequently, many insurance firms have chosen to withdraw coverage from homes and businesses in California, significantly impacting their profitability. Terrafuse's innovative wildfire AI risk scores assess the true likelihood of property combustion a year in advance. Our wildfire risk solution empowers insurance providers to underwrite a broader range of businesses while limiting non-renewals to properties deemed to have the highest risk of burning, and it allows them to price premiums according to actual risk levels. We enhance our models by analyzing over 50 interconnected environmental factors, such as building density, dead fuel moisture, and vegetation types, to evaluate loss severity over time. Additionally, we incorporate atmospheric physics into our models through sophisticated machine learning methodologies, ensuring a comprehensive understanding of wildfire risks. This approach not only aids in better risk assessment but also fosters a more resilient insurance market in the face of escalating wildfire threats.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

LexisNexis

Founded

1970

Country

United States

Website

risk.lexisnexis.com/products/attract

Vendor Details

Company Name

Terrafuse AI

Founded

2018

Country

United States

Website

www.terrafuse-ai.com

Product Features

Insurance Agency Management

Claims Management No 
Commission Management No 
Contact Management No 
Document Management No 
Insurance Rating No 
Life & Health No 
Policy Management No 
Property & Casualty No 
Quote Management No 

Product Features

Risk Management

Alerts/Notifications No 
Auditing No 
Business Process Control No 
Compliance Management No 
Corrective Actions (CAPA) No 
Dashboard No 
Exceptions Management No 
IT Risk Management No 
Internal Controls Management No 
Legal Risk Management No 
Mobile Access No 
Operational Risk Management No 
Predictive Analytics No 
Reputation Risk Management No 
Response Management No 
Risk Assessment No 

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