Product managers, underwriters, actuaries, and risk and innovation experts: this is the wildfire conversation you won’t want to miss. 🔥 On May 14, experts from Insurance Institute for Business & Home Safety - IBHS, the Western Fire Chiefs Association, California Polytechnic State University-San Luis Obispo WUI FIRE Institute, and ZestyAI will zoom in on the recent LA fires—unpacking what made them different and what it means for insurers navigating a changing risk landscape. 📅 Save your seat: https://lnkd.in/d3j4ygAv #Wildfire #Insurance #Resilience #WUI #RiskStrategy #IBHS #FireChiefs #InsurTech
ZestyAI
Software Development
San Francisco, California 6,121 followers
See risk clearly with AI-powered accuracy: Insights property insurers trust for better underwriting & smarter pricing
About us
ZestyAI is the leading risk platform trusted by Property and Casualty insurers and regulators across the United States. Combining advanced AI models with robust data sources, ZestyAI delivers property-level risk insights for perils such as wildfires, severe convective storms, and non-weather-related hazards. Validated by climate science and historical loss data, these insights enable smarter underwriting, precise rating, and improved reinsurance outcomes. ZestyAI fosters a healthier insurance market by helping carriers align premiums with true risk, increase accessibility, and prioritize mitigation efforts to make insurance more affordable.
- Website
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https://zesty.ai/
External link for ZestyAI
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
Locations
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Primary
548 Market St
PMB 75392
San Francisco, California 94105, US
Employees at ZestyAI
Updates
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This Earth Day, we’re reflecting on impact. 🌍 In 2024, over 511,000 homes and businesses previously deemed uninsurable gained coverage with help from ZestyAI’s property-level risk insights. That’s more than half a million families with access to the protection they deserve. This year, we’re aiming to double that impact, reaching over one million properties in catastrophe-prone regions through sustainable, risk-aligned insurance. #EarthDay #InsuranceAccessibility #ClimateResilience #InsurTech #ZestyAI
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Manufactured homes present unique underwriting challenges, from rural locations to limited inspection access. For Standard Casualty Company, high-res aerial imagery and granular AI-driven risk scores from ZestyAI made all the difference. 👇 See how ZestyAI helps insurers underwrite confidently, even in inspection-challenged areas. Cavco Industries, Inc. Richard E Smith, CPCU Regan Fackrell Colleen Rogers #ManufacturedHomes #UnderwritingInnovation #InsuranceTech #CustomerSuccess #InsurTech #ZestyAI
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ZestyAI reposted this
Learn more about increased volatile weather and its impact on CAT modeling from Jencap's Ben Beazley and ZestyAI's Stephanie Kuczynski. https://lnkd.in/exiMw9Wh
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With insured losses projected to exceed $30 billion, the recent Los Angeles wildfires have reshaped how we think about risk, resilience, and readiness. Experts from Insurance Institute for Business & Home Safety - IBHS, the Western Fire Chiefs Association, California Polytechnic State University-San Luis Obispo WUI FIRE Institute, and ZestyAI will come together for a 360° webinar to unpack the events, data, and decisions that will shape wildfire strategy moving forward. Designed for Product Managers, Underwriters, Actuaries, and Risk & Innovation leaders, this conversation brings together frontline insights, engineering research, and model performance for a rare cross-sector view of what’s ahead. 📅 Reserve your seat: https://lnkd.in/d3j4ygAv #Insurance #Wildfire #RiskModeling #ClimateRisk #Resilience #WUI #IBHS #InsurTech
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ZestyAI reposted this
12.6 Million US Properties at High Risk From Hail Damage, Exposing Insurers to $189.5 Billion in Potential Losses “Catastrophe models have helped insurers understand where storms may strike and how losses might add up at a portfolio level,” said Kumar Dhuvur, Co-Founder and Chief Product Officer at ZestyAI. “But they weren’t built to assess risk at the individual property level, and they often miss the specific conditions that drive hail damage. By analyzing the interaction between structure-specific features and local storm patterns, we can distinguish risk between neighboring properties—enabling smarter underwriting, more precise pricing, and better protection for policyholders.” https://lnkd.in/evK6Dx5W Ava Paydar Attila Toth Andrew Merski #fintech #finance #banking #paytech #payments #fintechnews #paymentsnews
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ZestyAI reposted this
In Michael Shashoua’s latest piece for Digital Insurance, he explores how insurers are using AI-driven models like Z-FIRE to incorporate property-level mitigation efforts into underwriting. With a more granular view of wildfire risk, carriers and policyholders can work together—helping homeowners understand steps to reduce risk while enabling more informed insurance decisions. #wildfirerisk #insurtech #climaterisk #insurance https://lnkd.in/eUwZYBAV
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Our latest Z-HAIL analysis highlights the rising cost of hailstorms and the urgent need for more precise property risk assessment. 👇
ZestyAI, the leader in AI-driven risk analytics for the insurance industry, today revealed that more than 12.6 million U.S. properties are at high risk of hail-related roof damage, representing $189.5 billion in potential replacement costs. “Catastrophe models have helped insurers understand where storms may strike and how losses might add up at a portfolio level,” said Kumar Dhuvur, Co-Founder and Chief Product Officer at ZestyAI. “But they weren’t built to assess risk at the individual property level, and they often miss the specific conditions that drive hail damage. By analyzing the interaction between structure-specific features and local storm patterns, we can distinguish risk between neighboring properties—enabling smarter underwriting, more precise pricing, and better protection for policyholders.” Read the full story here: https://lnkd.in/d-J94BEV #insurtechinsights #insurance #insurtech #report
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