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ZestyAI provides a Decision Intelligence Platform for the property and casualty insurance industry. It combines property-level data, AI models, and automation to help insurers see risk, price policies, and manage underwriting, rating, and reinsurance workflows with faster and more confident decisions. The platform uses machine learning, computer vision, and strict transparency to generate precise risk assessments and pricing, validated by climate science and historical loss data for major perils like wildfires, severe storms, and water events. ZestyAI stands apart by focusing on regulatory-grade transparency, trusted data sources, and a unified suite that supports underwriting, pricing, reinsurance, and regulatory reporting. The company aims to help insurers operate with speed, accuracy, and resilience by improving pricing accuracy, strengthening reinsurance outcomes, and enabling better decisions across the entire risk management process.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Financial Services
Company Size
51-200
Company Stage
Debt Financing
Total Funding
$74M
Headquarters
San Francisco, California
Founded
2015
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Total Funding
$74M
Above
Industry Average
Funded Over
4 Rounds
Remote Work Options
ZestyAI powers Risk Theory's California wildfire cover. September 24, 2026 Risk Theory, a vertically integrated specialty insurance platform, has selected ZestyAI's Z-FIRE model to assess wildfire risk for Jupiter Platinum Home, a newly launched excess and surplus (E&S) homeowners programme targeting high-value properties in California. The programme is designed for homes that can be difficult to place through the admitted insurance market or existing E&S products, particularly properties exposed to elevated wildfire risk. Jupiter Platinum Home accepts homes with dwelling limits of at least $750,000 and total insured values of up to $25m. Risk Theory will use Z-FIRE to assess wildfire exposure at an individual property level, giving underwriters more detailed information to support risk selection and pricing decisions. The launch comes as California's homeowners insurance market continues to face challenges around wildfire exposure, with some property owners struggling to secure coverage or facing non-renewals as insurers reassess their exposure. Traditional wildfire risk assessments can rely heavily on broader geographic or territorial measures, potentially making it difficult to distinguish between properties within the same area. Z-FIRE instead uses machine learning to assess factors including a property's defensible space, surrounding vegetation, terrain, construction materials and local fire behaviour. The model combines hazard and vulnerability factors to provide an assessment of the potential wildfire risk associated with an individual property. Risk Theory operates a group of managing general agents providing distribution, underwriting, claims, analytics and compliance services across specialty insurance markets. The company focuses on developing insurance businesses around areas where it sees opportunities to differentiate through underwriting and technology. ZestyAI provides risk decision technology for property and casualty insurers, reinsurers, brokers and regulators across the US. Its platform combines property-level data and predictive AI, with models covering perils including wildfire, severe convective storms and non-weather water. Z-FIRE has been approved in every Western wildfire market and was the first AI-driven wildfire model accepted within a carrier rate filing in California. ZestyAI said its wider portfolio of models has received more than 200 regulatory approvals in the US. Jessica Furrow-Young, executive vice president of underwriting at Risk Theory said "Jupiter Platinum Home was built for risks that are increasingly difficult to place in California, including homes with elevated wildfire exposure." "For us, that means understanding the differences between individual properties rather than treating wildfire exposure as a simple yes-or-no decision," she added. Furrow-Young said Z-FIRE provides underwriters with insight into both the hazard surrounding a home and the characteristics that could influence how an individual structure performs, helping Risk Theory deploy capacity across difficult-to-place risks. Attila Toth, founder and CEO of ZestyAI, said expanding insurance capacity in California requires insurers to differentiate between risks rather than simply taking on properties that the traditional market has moved away from. "Risk Theory built property-level risk selection into its underwriting approach from the outset," he said. "That level of insight can help insurers approach even challenging wildfire exposures with greater confidence and discipline." The use of property-level AI reflects a broader shift in how insurers are assessing catastrophe exposure, as carriers and specialty providers look for more granular data to support underwriting decisions in markets facing increasing climate-related risk. Enjoying the stories? Investors. The following investor(s) were tagged in this article.
New capacity for California wildfire risks. Some good news for California homeowners; New insurance capacity is beginning to take shape in California, and carriers are turning to more precise views of wildfire risk as they enter and expand in the market. DUAL, Kingstone and Windward Risk Managers are using ZestyAI's wildfire risk model, Z-FIRE(TM), to support new California homeowners programs. Together, the three companies reflect a broader shift toward property-level intelligence as insurers look for disciplined ways to write coverage following a record year for wildfire losses. The three programs arrive in a market still absorbing the January 2025 Los Angeles wildfires. The Eaton and Palisades fires destroyed more than 16,200 structures and drove an estimated $40 billion in insured losses - the largest insured wildfire loss event on record, according to the Swiss Re Institute. Yet wildfire risk in California is highly concentrated. ZestyAI's analysis of 2025 property data places just 11% of the state's homes in its High Risk wildfire tier, and Z-FIRE had rated 94% of the area burned by the Palisades Fire and 87% of the Eaton burn area High Risk. Trained on more than 2,000 historical wildfire events, Z-FIRE uses machine learning to evaluate each property's defensible space, vegetation proximity, topography, building materials, and surrounding fire behavior patterns, predicting both the likelihood that a property will encounter wildfire and the vulnerability of the individual structure once exposed. The model is approved across all Western wildfire markets and was the first AI-based wildfire model approved as part of a carrier rate filing in California. ZestyAI's broader portfolio of risk models has secured more than 200 regulatory approvals nationwide. Attila Toth, Founder and CEO of ZestyAI, said: "For three years, the California story has been about who was leaving. DUAL North America, Kingstone and Windward are writing a different story - each entering the state with a clear, property-by-property view of wildfire risk. That's the kind of precision that lets capacity stay." DUAL North America Expands ZestyAI Partnership Specialty program administrator DUAL North America is using Z-FIRE to assess wildfire exposure at the individual-property level as it builds its California homeowners portfolio. DUAL first adopted Z-STORM(TM) in late 2025 to strengthen hail and wind underwriting across its U.S. portfolio. The addition of Z-FIRE expands its use of ZestyAI's risk models across major catastrophe perils. Luke Wolmer, Chief Actuary at DUAL, said: "Launching a California program requires a disciplined, data-driven approach to wildfire risk. Z-FIRE delivers the property-level insight we need to confidently assess exposure, differentiate risk within the same territory, and offer coverage with greater clarity and consistency. That level of precision is essential as we grow our portfolio with greater confidence." Kingstone brings its underwriting strategy to California. Kingstone has selected Z-FIRE as it enters the California homeowners market on an excess and surplus lines basis, marking the company's first geographic expansion outside the Northeast. The model will support rating, underwriting and accumulation management as Kingstone scales its California business. Sarah Minlei Chen, SVP, Chief Actuary and Head of Product Management at Kingstone, said: "Our California entry reflects the same disciplined, data-driven approach that has driven our results in New York. ZestyAI's Z-FIRE model complements our Select platform by providing the property-level wildfire intelligence we need to rate and underwrite with precision in a complex and dynamic market like California." Windward Risk Managers extends partnership into California. Windward Risk Managers is extending its partnership with ZestyAI as it expands from Florida into the California homeowners market. The company currently uses Z-PROPERTY(TM) across its Florida portfolio to assess structural and parcel characteristics in a hurricane-exposed market. Windward is now bringing that same property-level approach to California, using Z-FIRE to evaluate wildfire exposure and manage risk at the individual-property level. Gard Olbers, Chief Risk Officer at Windward Risk Managers, said: "Z-PROPERTY gave us accurate property insights and broad coverage across our Florida portfolio. That experience made ZestyAI a natural partner as we expand into California, where Z-FIRE gives us an accurate, predictive view of wildfire risk as we evaluate and manage exposure."
The latest launches from ZestyAI, Verisk. September 3, 2026 DUAL North America, Kingstone Companies and Windward Risk Managers have launched new California homeowners programs with ZestyAI partnerships. The three companies are using ZestyAI's wildfire risk model, Z-FIRE, to support new California homeowners programs. The three programs arrive in a market still absorbing the January 2025 Los Angeles wildfires. The Eaton and Palisades fires destroyed more than 16,200 structures and drove an estimated $40 billion in insured losses - the largest insured wildfire loss event on record, according to the Swiss Re Institute. Yet wildfire risk in California is highly concentrated. ZestyAI's analysis of 2025 property data places just 11% of the state's homes in its High Risk wildfire tier, and Z-FIRE had rated 94% of the area burned by the Palisades Fire and 87% of the Eaton burn area High Risk. "For three years, the California story has been about who was leaving," said Attila Toth, founder and CEO of ZestyAI, in a company press release. "DUAL North America, Kingstone and Windward are writing a different story - each entering the state with a clear, property-by-property view of wildfire risk. That's the kind of precision that lets capacity stay." Trained on more than 2,000 historical wildfire events, Z-FIRE uses machine learning to evaluate each property's defensible space, vegetation proximity, topography, building materials, and surrounding fire behavior patterns, predicting both the likelihood that a property will encounter wildfire and the vulnerability of the individual structure once exposed. The model is approved across all Western wildfire markets. Specialty program administrator DUAL North America is using Z-FIRE to assess wildfire exposure at the individual-property level as it builds its California homeowners portfolio. DUAL first adopted Z-STORM(TM) in late 2025 to strengthen hail and wind underwriting across its U.S. portfolio. The addition of Z-FIRE expands its use of ZestyAI's risk models across major catastrophe perils. Kingstone has selected Z-FIRE as it enters the California homeowners market on an excess and surplus lines basis, marking the company's first geographic expansion outside the Northeast. The model will support rating, underwriting and accumulation management as Kingstone scales its California business. Windward Risk Managers is extending its partnership with ZestyAI as it expands from Florida into the California homeowners market. The company currently uses Z-PROPERTY across its Florida portfolio to assess structural and parcel characteristics in a hurricane exposed market. Windward is now bringing that same property level approach to California, using Z-FIRE to evaluate wildfire exposure and manage risk at the individual property level. Verisk announced a new U.S. Data Center Exposure Database designed to help insurers, reinsurers and brokers better understand and manage data center risk. The database provides building-level geocoding, facility footprints, physical characteristics and operational attributes for more than 2,500 facilities nationwide. The Verisk U.S. Data Center Exposure Database can be leveraged to support a range of use cases within Verisk Synergy Studio and Touchstone. "AI is often discussed as a digital transformation story, but it is increasingly a physical infrastructure story," said Rob Newbold, president of Verisk Catastrophe and Risk Solutions, in a company press release. "The facilities powering that growth represent billions of dollars in concentrated assets, and that has implications not only for insurers but also for reinsurers, investors and capital markets participants looking to understand and manage emerging sources of potential risk." The Verisk U.S. Data Center Exposure Database includes detailed location, structural and operational information for facilities across the country. It includes flat-file records, building footprint shapefiles, and a 90-meter disaggregation grid to support advanced geospatial analytics and catastrophe modeling applications. The database is designed to support underwriting, exposure management, catastrophe analytics, and portfolio accumulation assessments. "Data centers have quietly become one of the largest and fastest-growing concentrations of insured value in the modern economy," said Jay Guin, executive vice president and chief research officer, Verisk Catastrophe and Risk Solutions. "Organizations are investing billions of dollars to support AI-driven growth, but many insurers are increasingly focused on understanding where these assets are located and how risk accumulates across regions and portfolios. If you can't identify the exposure, you can't effectively measure or manage it. This data set is designed to provide additional information to support those efforts." Sources: ZestyAI, Verisk Was this article valuable? Latest magazine.
Latest client wins for ZestyAI. The latest client news from ZestyAI for you; ZestyAI, the risk decision intelligence platform for the insurance industry, today announced that Mutual Capital Group companies Tuscarora Wayne Insurance Company, Keystone National Insurance Company, and Lebanon Valley Insurance Company have selected ZestyAI's property analytics platform to bring real-time, property-level intelligence to their underwriting, pricing, and inspection decisions. Mutual Capital Group is adopting two ZestyAI solutions across its personal and commercial lines underwriting operations. Z-PROPERTY(TM) evaluates roof complexity, materials, condition, and surrounding risk factors that directly influence loss potential and underwriting outcomes. Roof Age delivers verified roof age by cross-validating building permit records with more than 20 years of aerial imagery, identifying roof replacement events that traditional records often miss and assigning a confidence score to every property. "Getting accurate, property-level data on roof quality, roof age, hail exposure, and wind risk without relying solely on physical inspections is a significant operational advantage," said Bruce White, Senior Commercial Lines Underwriting Officer and Assistant Vice President at Mutual Capital Group. "ZestyAI gives our underwriters the verified intelligence they need to evaluate every risk with greater consistency and confidence. It also allows us to direct physical inspection resources more strategically, focusing on the policies that need them most." "Mutual Capital Group recognized the value of adopting a comprehensive approach to property analytics," said Attila Toth, Founder and CEO of ZestyAI. "We're proud to support their underwriting teams with trusted insights that help sharpen risk selection, align pricing with exposure, and strengthen overall portfolio performance."
ZestyAI expands AI property risk tools in new deal. July 2, 2026 GuardianPointe Insurance Company, a US property insurer specialising in catastrophe-exposed markets, has turned to ZestyAI's property intelligence platform to sharpen how it assesses and manages risk across its book. Under the agreement, ZestyAI, a risk and decision intelligence platform for the insurance sector, will supply GuardianPointe with more precise and uniform insight into exposure at the property level. The insurer will deploy the vendor's Roof Age and Z-PROPERTY(TM) tools to strengthen decisions across underwriting, pricing and portfolio management in both its personal and commercial lines. The Roof Age tool combines artificial intelligence with building permit records and historical aerial imagery to pinpoint when roofs have been replaced and to gauge their condition with greater precision. Z-PROPERTY complements this by delivering a broader picture of each property, examining structural and parcel-level features that could affect how severe losses might be, capturing physical characteristics that conventional data sources often miss. ZestyAI supplies AI-powered risk and decision intelligence used throughout the insurance industry, serving carriers, reinsurers, brokers and regulators. Its platform pairs property-level datasets with predictive models to underpin underwriting, pricing and portfolio management across perils including wildfire, severe convective storms and water-related risks. GuardianPointe operates in the US property insurance market, providing residential and commercial cover in high-risk catastrophe zones. The insurer builds its strategy around disciplined underwriting, financial strength and structured risk management across its book. ZestyAI founder and CEO Attila Toth said, "The industry is shifting toward a more exact understanding of risk - grounded in what's actually present at each property. GuardianPointe is building that clarity into how its portfolio is understood, giving it a stronger foundation for long-term performance." GuardianPointe Insurance Company CEO Rick Espino added, "ZestyAI gives us a clearer, property-level understanding of the risks across our portfolio. That visibility helps reduce uncertainty and strengthens how we evaluate and manage exposure across our book." Enjoying the stories? Investors. The following investor(s) were tagged in this article.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Financial Services
Company Size
51-200
Company Stage
Debt Financing
Total Funding
$74M
Headquarters
San Francisco, California
Founded
2015
Find jobs on Simplify and start your career today