Reports & Research

From Costly Water Losses to Millions in Savings

Non-weather water claims are a leading cause of property insurance losses, costing insurers over $20 billion annually. 

Join us for a FREE live webinar where our experts will discuss the latest trends, challenges, and insights to help you mitigate non-weather water risk.

What We'll Cover

Our experts Rob Silva, ACAS (Director of Customer Success) & Sam Fetchero (Head of Marketing) will present:

• Current Trends: Understand the rise in severity and total loss costs of non-weather water claims.
• Risk Assessment Challenges: Learn why traditional methods fall short in assessing non-weather water vulnerability.
• Key Risk Factors: Identify the main drivers of non-weather water damage.
• Strategic Insights: Discover strategies to improve your management of non-weather water claims.
• Z-WATER in Action: Experience our new AI-powered model that predicts non-weather water risk with unparalleled accuracy.
• Interactive Q&A: Get your questions answered by our experts.

Who Should Attend

This webinar is ideal for Executives, Product Managers, Actuaries, Underwriters, and CAT Modelers committed to enhancing their understanding and management of non-weather water risks. 

Bonus Content

As a bonus, you'll receive our exclusive infographic, "Below the Surface: Research Reveals Knowledge Gap in Homeowner Water Loss Prevention and Coverage."

This research gives key insights into water loss experiences, coverage details, homeowner protection measures, and information on water shutoff devices and heater conditions.

Register Now

It’s hard to overstate how important the roof is from an insurability standpoint. The roof represents significant risks and potential opportunities, making it a critical focus area for insurers. This has become even more important in recent years as the impact of severe convective storms is often reflected in roof losses. Understanding this, ZestyAI has released new research for property insurers called The Insurers Guide to Roof Risk.

Download The Insurers Guide to Roof Risk

In an era where the severity and frequency of roof-related claims are on the rise, particularly due to the increasing impact of severe convective storms, innovative tools and strategies are essential. The Insurers Guide to Roof Risk provides actionable insights to improve risk assessment, underwriting processes, and overall business strategy.

What’s Inside the Guide?

The Insurers Guide to Roof Risk includes:

• Roof Failure Factors: Learn the underlying contributing factors behind why older roofs fail more often.
• Beyond Roof Age: Discover why roof complexity, condition, and climate are more important than roof age alone.
• Identifying Missing Risk Factors: Understand the key factors to roof risk that most traditional models miss.
• Advanced Risk Segmentation: See how using machine learning and new data sources can split risk more than 60 times better than traditional models.
• Portfolio Optimization: Access a comprehensive toolbox to optimize your portfolio and new business selection to generate exponential lift versus traditional models.

Download Now

Annual Wildfire Season Overview provides insights to assist insurers in effectively managing wildfire risk.

ZestyAI has released its annual Wildfire Season Overview for 2024. This year’s guide provides critical insights carriers need to stay ahead of the rapidly evolving wildfire landscape. Offering more than just data, this year’s guide is designed to help insurers make informed risk decisions in some of the country’s most volatile states. 

Download ZestyAI's 2024 Wildfire Season Overview 

This year’s guide includes: 

• Countrywide Wildfire Impact Analysis: Understand how wildfires are affecting regions beyond traditional hotspots like CA, including significant events in TX & NM.
• Future Wildfire Trends: Explore predictions for the 2024 wildfire season and understand the long-term implications of current conditions on wildfire risks.
• Regulatory Insights: Stay updated on the latest regulations affecting wildfire risk assessment insurance practices.
• AI-driven Risk Models: Learn how ZestyAI's Z-FIRE model accurately predicts wildfire risks and assists insurers in making informed decisions.
• Property-Level Risk Assessments: Discover the importance of granular, property-specific risk evaluations to improve underwriting accuracy and transparency for consumers.

Download Now

Costing insurers approximately $19 billion every year, roof claims stand as the primary driver of property insurance losses.

Traditional methods of obtaining roof age information are deeply flawed. Most carriers depend on policyholder or agent-reported data, which is often inaccurate, leading to blind spots in assessing property risk. In a recent ZestyAI survey, 63 percent of homeowners reported not knowing the age of their roof if they were not in their homes the last time it was replaced.

Join our expert panel for a deep dive into leveraging roof age analytics for a cutting-edge underwriting process and gain insider knowledge on:

• The Leading Cause of Claims: unveil the hidden truths behind roof-related claims and the costly consequences of outdated assessment methods.
• A New Era of Data: Learn about ZestyAI’s pioneering approach to roof age analytics, incorporating building permits, historical imagery, and AI for a comprehensive view
• Precision at Scale: See how to apply precise, AI-driven roof age data across your entire portfolio for consistent and reliable underwriting and claims decisions
• Technical Decision Making: Empower your actuaries and underwriters with the insights needed to enhance risk selection and optimize pricing strategies
• Efficiency in Operations: Streamline inspections and operations, focusing resources where they’re needed most, improving time-to-quote, and enriching the customer experience
• Best Practices: Learn how leading carriers are using roof age, roof condition, and peril-specific models to improve risk selection and lower combined ratios 

This transformative session is available on demand. Learn how to enhance accuracy, efficiency, and profitability in property insurance.

Save Your Spot

In an ever-evolving regulatory environment, staying informed and adaptable is crucial. Our latest interactive guide, "When Innovation and Regulation Meet", offers a comprehensive toolkit for navigating the complexities of insurance compliance and the integration of AI technologies. 

What's Inside?

• Regulatory Landscape Map: Delve into a detailed state-by-state analysis, uncovering the intricacies of filing laws and approval speeds.
• Staying Ahead of Regulation Changes: Learn how to stay prepared and ensure your compliance strategies are future-proof, aligning with the latest regulatory expectations.
• Essential AI Partner Checklist: Choosing the right AI partner is crucial for success. Our guide offers a meticulous checklist for selecting a partner that is not only compliant but also transparent and supportive, ensuring you make an informed decision.
• Emerging Regulatory Concerns: What do you need to know about privacy, bias, and AI oversight?
• Real-World Applications: Discover how ZestyAI's collaborative approach with regulatory entities has led to successful model approvals across the United States. 

Why This Guide?

As the regulatory framework becomes increasingly complex, having a reliable and insightful resource is indispensable. Our guide is tailored for insurance professionals seeking to enhance their regulatory strategy, embrace AI innovation responsibly, and achieve a competitive edge in the market.

Ready to get up to speed on 2024's regulatory environment? Access the guide.

The landscape of hail risk management is undergoing a significant transformation. Our latest publication, "Hail Risk 2024: An Interactive Guide for Insurers," offers a critical examination, illustrated with compelling data, of the factors contributing to the alarming rise in hail-related losses over the last decade. Major changes to how hail is understood have changed how insurers should view the peril. This guide isn't just about understanding hail risk; it's about redefining how it is managed in the insurance industry.

Why This Guide is Indispensable:

• Losses Rising — Understand the key factors driving record-breaking hail losses, and why there's more to the story than just "climate change."
• Reinsurance  — Learn why insurance carriers now shoulder more of the burden due to changing risk transfer relations.
• The Right Tools  — Explore how AI-based climate risk models are supplementing stochastic and actuarial models for a full picture of climate risk.
• Actionable Steps  — See how leading carriers are applying granular, property-level insights and learn the proactive steps they're taking to mitigate risks and losses.

Ready to get up to speed on hail risk in 2024? Access the guide.

ZestyAI today announced that Logic Underwriters has adopted ZestyAI’s Z-PROPERTY™, Z-HAIL™, and Z-WIND™ solutions to improve underwriting and rating precision across its personal and commercial property portfolio in Texas.

Texas is the most expensive severe convective storm market in the United States, with hail and damaging wind driving billions of dollars in insured losses every year.

"Texas is one of the most challenging storm markets in the U.S., and we need tools that match that reality," said Bill Motz, Director of Operations, Logic Underwriters.

"ZestyAI's detailed property insights and dedicated hail and wind models will help us continue to provide exemplary service to our clients—from more accurate risk assessments to better loss prevention guidance in increasingly volatile weather conditions."

ZestyAI’s property-specific hail and wind models predict the likelihood and severity of storm-driven claims by analyzing how local climatology interacts with detailed property characteristics—helping underwriters to distinguish meaningful differences in risk within the same rating territory. Each model is trained on validated claims data, offering transparent explanations of the key factors driving risk.

Z-PROPERTY applies AI to high-resolution aerial imagery and multi-source data to assess roof condition, structural complexity, and parcel-level features such as vegetation overhang, yard debris, and secondary structures—factors that directly influence claim frequency and severity across multiple perils.

“Logic Underwriters is exactly the kind of forward-looking partner that is redefining underwriting in high-exposure states,” said Attila Toth, Founder and CEO of ZestyAI.

"This collaboration shows how property-level intelligence can support underwriting excellence and disciplined decision-making while helping policyholders better understand and protect their properties. When insurers can identify specific risk factors like roof condition or vegetation overhang, they can provide actionable guidance that helps clients reduce their exposure and minimize losses."

ZestyAI’s severe convective storm models are approved in 30 states, spanning the nation’s highest-exposure hail and wind markets, and used by leading insurers across the country.

Wildfire risk in the United States is no longer confined to the edges of forests or traditionally high-risk zones. New analysis using ZestyAI’s property-level wildfire models shows that millions of homes classified as low or no wildfire risk under federal assessments face elevated wildfire danger when evaluated at the property level.

This analysis was recently featured in Vox, which examined how wildfire behavior is evolving — and why broad, backward-looking risk maps are increasingly misaligned with how fires spread today.

👉 Read the full article on Vox → https://www.vox.com/climate/476932/california-wildfire-los-angeles-risk-ai-housing-climate

Wildfire risk is closer — and more granular — than most maps show

Many homes damaged or destroyed in the 2025 Los Angeles wildfires were still classified as “low risk” under federal wildfire assessments. ZestyAI’s property-level analysis provides a different perspective.

By evaluating individual structures — including vegetation proximity, defensible space, building characteristics, and neighborhood-level fire dynamics — ZestyAI identified more than 3,000 properties worth approximately $2.4 billion in areas impacted by the Palisades and Eaton fires that showed elevated wildfire risk despite being classified as low or no risk under FEMA’s census-level assessments.

Across California, the classification gap is even broader. Approximately 1.2 million properties, representing roughly $940 billion in residential property value, are designated as low or no wildfire risk under federal maps, despite AI-driven property-level models indicating elevated wildfire danger.

Why census-level wildfire maps fall short

Wildfires do not spread evenly across census tracts or counties. Ember-driven ignition, structure-to-structure spread, wind conditions, and localized vegetation patterns create uneven outcomes, where one home survives and the next is destroyed.

Federal wildfire assessments are designed to provide a baseline view of community-level risk. FEMA has noted that its National Risk Index is not intended to serve as a property-specific risk assessment. When risk is evaluated at the individual property level, meaningful differences emerge that aggregated maps are not designed to capture.

What more granular wildfire risk intelligence enables

More detailed wildfire risk data can support:

• Targeted mitigation efforts at the property and neighborhood level
• More informed rebuilding and land-use decisions
• Clearer, more defensible underwriting and portfolio strategies
• Improved dialogue between insurers, regulators, and communities

A shift in how wildfire risk is understood

Wildfire risk is evolving faster than the systems built to measure it. Homes are no longer just adjacent to wildfire hazards; they increasingly influence how fires ignite, spread, and intensify, even in dense urban environments.

Property-level risk intelligence does not remove hard decisions. But without it, those decisions are made using an incomplete picture of where wildfire risk truly exists.

Read the full Vox article here.

 General Star (GenStar), a respected provider of excess and surplus specialty property and casualty insurance and a member of the Berkshire Hathaway family of companies, has selected ZestyAI to further strengthen how it underwrites hail, wind, and severe convective storm risk across its commercial property portfolio. 

The carrier will use ZestyAI’s Z-STORM™ model to gain more precise, property-level insight for multi-structure apartment and condominium risks, further supporting underwriting, pricing, and coverage decisions.

“Z-STORM gives us a more actionable view of hail risk at the individual property level,” said Matt Brown, Senior Vice President, Delegated Division at GenStar.

“In our evaluation, the model demonstrated compelling risk-splitting lift, which allows us to further differentiate risk more effectively, price with greater precision, and ultimately strengthen relationships with our customers and distribution partners.”

Z-STORM predicts the expected frequency and severity of severe convective storm losses by combining climatology with detailed property-specific characteristics. The model is designed to support more refined wind and hail peril rating, improved deductible and endorsement strategies, and earlier visibility into accumulating and emerging storm risk across a carrier’s portfolio.

By adopting Z-STORM, GenStar aims to further:

• Improve underwriting clarity by incorporating a clearer, property-level view of hail and wind risk into core underwriting decisions
• Expand policy availability by applying deductibles, endorsements, and exclusions more precisely—helping keep coverage available even in hail-prone markets
• Align pricing with risk, potentially offering more competitive premiums for favorable risks while refining pricing for higher-risk properties
• Identify emerging storm risk sooner, enabling proactive risk management and loss mitigation before exposures become potentially costlier for both GenStar and insureds

“GenStar joins a growing number of carriers using AI to modernize property underwriting,” said Attila Toth, Founder and CEO of ZestyAI.

“With Z-STORM delivering a sharper, property-level view of hail risk across complex apartment and condo portfolios, GenStar can further strengthen underwriting and pricing decisions and identify emerging exposures earlier—before they potentially turn into avoidable losses.”