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What is UrbanStat?

UrbanStat provides a comprehensive array of over 20 modules aimed at optimizing portfolio management, simplifying underwriting tasks, enhancing risk selection, and fine-tuning pricing methodologies through the utilization of geospatial data and machine learning innovations. Encompassing a wide range of analytics from overall portfolio insights to granular transaction assessments, UrbanStat is a versatile platform tailored for property underwriting across both personal and commercial sectors. With access to over 30 data points for each property throughout the United States, Canada, and Europe, clients can effectively oversee their portfolios within a unified platform that transcends geographical boundaries. The implementation of UrbanStat can be achieved in as little as four weeks, utilizing various integration methods such as database links, file system interactions, or contemporary API connections. Additionally, pre-built integrations with systems like Duck Creek, OneShield, and Guidewire ensure a smooth transition to our fully automated operations. Users can set up their exposure alerts just once, relying on our sophisticated technology to continuously monitor and alert them regarding regions with heightened exposure risks, thereby keeping them well-informed and empowered. This proactive monitoring enables timely adjustments to risk management practices, ultimately fostering more informed decision-making and significantly improving overall portfolio performance. Moreover, the scalable nature of UrbanStat ensures that as users' needs evolve, the platform can adapt to accommodate new requirements without disruption.

What is Earnix?

Earnix is built on a solid framework of data and analytics, which are essential for powering our innovative solutions. We employ high-caliber data science, sophisticated analytical modeling tools, optimization strategies, and machine learning techniques to deliver highly personalized financial products at competitive prices for every client. Our methodology allows for the seamless development and integration of both traditional Generalized Linear Models (GLM) and machine learning frameworks, ensuring their effective application in pricing, rating, and customization strategies. To support this, we have developed a Hybrid Model that merges the predictive prowess of machine learning with the causal insights derived from conventional statistical methods. The Earnix platform boasts an extensive suite of optimization algorithms tailored to meet a variety of pricing and rating frameworks, regulatory requirements, business objectives, and fluctuating market conditions. These sophisticated algorithms tackle complex challenges such as portfolio optimization, lifetime value assessments, multi-product strategies, ranking, and customer-focused optimization issues. By offering such a robust solution, we empower financial institutions to significantly enhance their service offerings and adapt to the evolving landscape of the financial industry. Our commitment to innovation ensures that clients remain at the forefront of market advancements.

Media

Media

Integrations Supported

Duck Creek Suite
OneShield Policy

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

UrbanStat

Date Founded

2013

Company Location

United States

Company Website

www.urbanstat.com

Company Facts

Organization Name

Earnix

Company Location

United States

Company Website

earnix.com/analytics/in-action/

Categories and Features

AI Insurance

Not specified

Insurance Analytics

Not specified

Categories and Features

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