ZestyAI

How are insurers addressing the growing threat of extreme weather? Our recent survey highlights a pivotal shift in the insurance industry: 🔹 1 in 4 insurers are now using AI to assess risks from severe storms 🔹 1 in 5 are using AI for wildfire risk evaluations For those selecting AI-powered risk models, the driving factors are clear: 🟢 Industry adoption: 45% rank it as their top consideration. 🟢 Peer adoption: 40% value trusted adoption by their peers. The payoff for early adopters is evident: 🔹 81% of insurers using AI models feel ahead of their competitors in adapting to climate-related challenges. 🔹Among those relying on traditional models, that confidence drops to just 66%. 💡 Want to dive deeper into these insights? Download the full report here: https://lnkd.in/gXU59RBg #Insurance #ArtificialIntelligence #RiskManagement #Innovation

Can Large Language Models meet the complex demands of property insurance? We recently tested four leading LLMs—ChatGPT 4.0, Claude Sonnet 3.5, Llama 3.1, and Gemini Pro 1.5—on key insurance tasks like actuarial calculations, regulatory compliance, bias detection, and property risk assessment. The results? Even the top performers scored under 65% in these specialized areas: 🧮 Actuarial Challenges: None of the models could handle multi-step actuarial problems. 📜 Regulatory Gaps: Regional nuances and up-to-date legal specifics proved challenging. ⚖️ Bias Issues: Some models introduced assumptions that could impact fairness in underwriting. 🏠 Property Risk Assessment: General LLMs struggled with context-sensitive evaluations. The takeaway? General AI, while powerful, falls short in the high-stakes world of property insurance. Specialized AI solutions—tailored with industry-specific data and designed for complex tasks—are the way forward. Explore our VP of Product Frederick Dube Fortier's findings: http://bit.ly/40ZTwqV #AI #PropertyInsurance #InsurTech #ZestyAI #SpecializedAI

🚀 Join ZestyAI! We’re expanding our team to embed trustworthy AI into the fabric of the insurance industry, transforming how carriers manage risk, refine pricing, and drive growth. At ZestyAI, our mission is to protect communities and livelihoods. We equip insurers with smarter, more precise risk analytics powered by cutting-edge technology, unique data, and deep industry expertise. Together, we’re building safer, more resilient communities. Ready to make an impact? Explore our open roles and join us on this transformative journey: https://lnkd.in/gE6CivnK

On Monday, we asked which roof on a street in Springfield, Missouri posed the highest and lowest wind risk. Today, we’re sharing the results—and how Z-WIND helps carriers evaluate risk with precision. Z-WIND combines computer vision, climatology data, and advanced machine learning to analyze the features that matter most when assessing the likelihood and severity of wind claims. Here’s what we found: 1️⃣ Gable Roof: Gable roofs are typically at higher risk for wind claims. However, this roof’s excellent condition and simple geometry make it low risk for wind claims. 2️⃣ Hip Roof: While hip roofs generally have lower wind risk, this roof’s extensive damage significantly increases its likelihood of a high-severity wind claim. This property had the highest risk of the three. 3️⃣ Hip-Gable Roof: With 12 roof penetrations and light wear, this complex roof design results in a high risk for wind claims, with substantial potential severity. These insights highlight how Z-WIND delivers precise, actionable risk evaluations for carriers. Congrats to Asher Hilton for correctly identifying the lowest-risk property! What do you think? Were the results what you expected? Let us know in the comments!

🎥 What sets ZestyAI apart? Our Founder and CEO, Attila Toth, shares what truly differentiates us: ✅ Unmatched Information Advantage Our platform combines an unparalleled depth and breadth of data with advanced AI to deliver granular, property-level risk insights—from wildfire and hail to water and severe convective storms. ✅ ROI-Focused We understand the challenges insurers face because we’ve walked in your shoes. Whether it’s growing your premium base, reducing loss ratios, or securing better reinsurance terms, we know how to deliver measurable impact. ✅ Transparency and Trust Our models are built to be fully transparent, explainable, and aligned with regulatory requirements. AI is a means to an end—it’s about earning trust through responsible innovation. At ZestyAI, we’re not just about data; we’re about delivering insights that protect communities and drive results for insurers. Watch the full video to hear how we’re redefining risk analytics.

🌬️ Three houses. Three roof shapes. Three wind risks. Missouri is a windy state, and with an average wind speed of 10 mph, it outranks Texas, Colorado, Wyoming, New Mexico, and California. For carriers in Missouri, wind damage is a critical concern. We put our Z-WIND model to the test, analyzing homes on a street in Springfield, MO. From the aerial view, you can see: each house has a unique roof shape—gable, hip, or hip-gable—with distinct geometry, complexity, and condition. Here’s the challenge: Which roof do you think poses the highest and lowest wind risk for a wind claim? Drop your guess in the comments! We’ll share the answers—and the insights—on Wednesday.

How old are the water heaters in your portfolio? At #PIRNC2024, a single image said it all—a corroded flue from an 8-year-old water heater that led to a major claim. After breaking out the angle grinder to investigate, it became a vivid reminder of the growing risks and rising water loss severity. This is why we created Z-WATER—an AI-powered model designed to predict non-weather water and freeze claims across all U.S. properties. Unlike traditional models, Z-WATER assesses each property’s unique construction and architectural details along with local water infrastructure, delivering a complete and nuanced picture of water risk.

Manufactured homes face unique vulnerabilities, and we’re excited to support Standard Casualty Company in its mission to keep homeowners protected, no matter the conditions. We’re proud to announce our partnership with Standard Casualty, who has chosen our advanced risk solutions to better safeguard policyholders in high-risk areas like Texas, Georgia, Arizona, and New Mexico. With Z-PROPERTY, Z-FIRE, and Z-HAIL, Standard Casualty can now deliver property-specific insights on wildfire and hail risks, enabling more precise coverage and empowering policyholders to reduce risks proactively. Together, we’re setting a new standard for property protection in vulnerable regions. 🤝 https://lnkd.in/edpys2S9 #Insurance #RiskAssessment #AI #InsurTech #StandardCasualty #ZestyAI #Partnership #PropertyRisk

Last chance to sign up! 🚨 With AI innovation transforming insurance, staying compliant is essential. Our webinar is your opportunity to gain insights from leading experts: What you’ll gain: ⚖️ Key guidance on the NAIC Model Bulletin from Vermont Commissioner Kevin Gaffney. 💡 Practical strategies from Bryan Rehor, Director of Regulatory Strategy at ZestyAI, to help insurers align AI practices with regulatory standards while maximizing innovation. 📅 Can’t make it? Register to receive the full recording: https://bit.ly/3TY9Vb6 #AIinInsurance #RegulatoryCompliance #ZestyAI

As climate, inflation, and rising reinsurance costs reshape the homeowner's insurance landscape, the need for advanced risk segmentation has never been more critical. We’re proud to have commissioned this paper, which explores how refined risk segmentation and more sophisticated rating models help carriers to better predict and price risk at the property level.