ZestyAI

ZestyAI

File:ZestyAI-Logo-1-600x423-1.jpg
Type	Private
ISIN	🆔
Industry	Insurance, AI, technology
Founded 📆	2017 (2017)
Founders 👔	Attila Toth, Kumar Dhuvur
Headquarters 🏙️	San Francisco, California, United States
Area served 🗺️
Members
Number of employees
🌐 Website	www.zesty.ai
📇 Address
📞 telephone

Overview

ZestyAI is a San Francisco-based technology company that has been developing AI-powered property risk analytics for the insurance industry since its founding in 2017. The company uses machine learning to analyze aerial imagery, building data, and climate information to assess catastrophe risk at the individual property level. Their platform can identify specific risk factors like roof quality, yard debris, and driveway condition to predict a property's susceptibility to damage. As of 2025, ZestyAI's risk models have received regulatory approval in over 35 U.S. states, allowing insurers to incorporate them into underwriting and pricing decisions. The company works with several major U.S. insurance carriers, including Amica Insurance Company, Berkshire Hathaway Homestate Companies, CSAA, and Cincinnati Insurance Company. They also provide services to insurers of last resort like the California FAIR Plan.

ZestyAI has raised significant venture capital from investors in the fintech and insurtech sectors and has been recognized for its innovative application of artificial intelligence in the insurance industry.

Origins and pivot (2017-2018)

ZestyAI was founded by Attila Toth and Kumar Dhuvur, who originally ran a company called PowerScout, a clean energy marketplace for homeowners. In late 2017, the founders made a strategic pivot to insurance risk analytics. This shift came in response to declining funding for renewable energy initiatives and the devastating wildfires that swept through California that year. The company was able to build on PowerScout's existing database of roughly 120 million U.S. rooftop profiles to create their property risk models. They officially rebranded as ZestyAI in 2018.

Product development and expansion (2019-2025)

ZestyAI launched its first product in 2019, a wildfire risk model called Z-FIRE. It became the first AI-powered wildfire assessment tool to receive approval from the California Department of Insurance for use in insurance rate filings. In 2021, the California FAIR Plan, which serves as the state's insurer of last resort, began using Z-FIRE to evaluate wildfire exposure for high-risk properties. The company announced a four-year extension of this partnership in June 2025.

In the early 2020s, ZestyAI expanded its offerings to cover other types of property risks, including severe convective storms (hail and wind), water damage, and additional perils. By 2022, the company reported working with roughly half of the top 50 property and casualty insurers in the United States. Their hail and wind risk models received regulatory approval in several states in 2024, and by mid-2025, at least 35 state insurance regulators had approved ZestyAI's storm risk analytics.

In August 2024, ZestyAI introduced Z-WATER, an AI model designed to predict non-weather water damage claims. Wisconsin became the first state to grant regulatory approval for Z-WATER in September 2025.

The company moved beyond property risk assessment in July 2025 with the launch of ZORRO Discover, a generative AI agent built for regulatory research and competitive intelligence.

Technology

ZestyAI's platform brings together high-resolution aerial and satellite imagery with structural property data and geospatial environmental information. he company uses computer vision algorithms to identify specific property characteristics. Things like roof condition, building materials, and surrounding vegetation. These features are then combined with climate data and historical loss records in machine learning models that predict both the likelihood and potential severity of insurance claims.

Risk models

Wildfire Risk Model: ZestyAI's first product, Z-FIRE, provides property-level wildfire risk scores by analyzing decades of wildfire history, drawing on data from over 2,000 past wildfires, along with localized factors like topography, weather patterns, surrounding vegetation, and building characteristics. The model generates a predictive score that indicates how susceptible a structure is to wildfire damage. In 2019, Z-FIRE became the first AI-driven wildfire risk model to receive approval from California regulators for use in insurance underwriting and pricing as part of an official rate filing. The model's adoption has enabled insurers to assess wildfire risk at the individual property level with much greater precision than the older zone-based fire maps, which had been shown to misclassify the actual risk for many properties. Since then, Z-FIRE has achieved regulatory approval or acceptance across all Western U.S. states and is now used by multiple insurers to inform underwriting decisions in wildfire-prone regions.

Severe Convective Storm Models: ZestyAI offers a suite of AI models for severe convective storms, focusing on perils like hailstorms and straight-line winds. These models predict both the probability and expected severity of hail or wind damage to a property by analyzing local climate patterns alongside property-specific features such as roof type and condition. In 2024, ZestyAI's convective storm analytics became among the first AI-based hail and wind risk models to receive regulatory approval in multiple states. By mid-2025, at least 17 state insurance regulators—including those in Texas, Colorado, Illinois, and Michigan—had approved rate filings that incorporate ZestyAI's hail and wind risk scores. This enables insurance carriers in those states to utilize the AI models' insights for underwriting and rating properties in areas prone to storms. This allows insurance carriers in those states to use the AI models’ insights in underwriting and rating properties in storm-prone areas.

Z-WATER (Non-Weather Water Risk Model): Z-WATER is an AI-powered model that predicts the frequency and severity of non-weather water and freeze claims—things like pipe leaks, plumbing failures, and frozen pipes. Non-weather water damage ranks as the third-leading cause of property insurance losses, costing insurers more than $20 billion each year. The model draws on property-specific construction and architectural information, local infrastructure data, water distribution networks, and electrical grid stability.

In September 2025, Wisconsin approved Z-WATER for use in insurance rate filings, making it the first regulatory approval of an AI model specifically designed to assess non-weather water risk. According to industry data, the severity of non-weather water claims increased 80% over the decade leading up to Z-WATER's launch, making it the fourth costliest peril in homeowners insurance.

Other Products: ZestyAI has developed additional models targeting specific property perils. The platform's flexibility allows it to analyze a wide range of insurance risks using high-resolution property data. All risk models are delivered to insurers through either an API or web interface, and the company emphasizes transparency and ongoing collaboration with regulators to ensure the reliability of its algorithms.

ZORRO Discover In July 2025, ZestyAI launched ZORRO Discover, an AI agent designed for regulatory research and competitive intelligence in the insurance industry. Unlike the company's property risk assessment products, ZORRO Discover uses agentic AI to navigate and synthesize regulatory data from thousands of unstructured documents. The platform relies on large language models that have been optimized for insurance-specific content, including rate filings, objections, responses, and regulations from all 50 states.

Customers

ZestyAI's customer base consists primarily of insurance carriers and related industry participants. By 2022, the company's predictive analytics had been adopted by a number of insurers and reinsurers, including Amica Mutual Insurance, Berkshire Hathaway's insurance group, Cincinnati Insurance Company, Farmers Insurance, and the California FAIR Plan, among others. Many of these partnerships involve integrating ZestyAI's risk scores into the insurers' underwriting workflows for homeowners and commercial property policies. For instance, Farmers Insurance and Amica have incorporated ZestyAI's AI wildfire model into their evaluation of wildfire exposure on individual homes.

Amica Mutual Insurance uses ZestyAI's hail risk model in the Dallas-Fort Worth area of Texas to identify lower-risk homes based on individual property features.

The California FAIR Plan, the state's insurer of last resort, uses Z-FIRE scores to help determine eligibility and mitigation advice for properties in wildfire zones.

As of 2022, ZestyAI reported that roughly half of the top 50 U.S. P&C insurance carriers were either customers or participating in pilot programs with its platform.

Beyond traditional insurers, insurtech and managing general agent (MGA) partners have also used ZestyAI's solutions. In 2018, Hippo Insurance announced an integration with ZestyAI to use the company's computer vision technology for homeowners insurance quotes and underwriting. Digital commercial insurer Next Insurance partnered with ZestyAI in 2025 to incorporate AI risk analytics into its small business insurance underwriting. Several state-regulated insurance pools have adopted ZestyAI's models as well; aside from California's FAIR Plan, the Colorado FAIR Plan and other public-private insurance programs use the platform in high-risk areas.

The company's risk scores have been used not only in coverage decisions, but also to inform mitigation efforts. For example, insurers can provide ZestyAI's hazard assessments to homeowners, who may then take preventative measures such as clearing brush around a home to lower wildfire risk.

Funding and Investors

ZestyAI has attracted interest from venture capital firms specializing in fintech, insurtech, and AI. The company's Series A funding round was announced in late 2018, raising $13 million to support its initial expansion. The round was led by Blamar, a Luxembourg-based private investment fund, with participation from Silicon Valley's Plug and Play Ventures and other early-stage investors.

In July 2022, ZestyAI raised $33 million in a Series B round. The round was led by Centana Growth Partners, a fintech-focused growth equity firm, and included participation from existing investors as well as Brex through its venture arm. The company stated it would use the funding to broaden its product portfolio and scale up its go-to-market operations. Following the Series B, ZestyAI's total equity funding raised reached approximately $46–50 million.

In 2025, ZestyAI secured a $15 million credit facility from CIBC Innovation Banking. The credit line provides working capital for scaling the platform's deployment with insurers and handling increased data processing demands. By the mid-2020s, ZestyAI's investors and backers included Centana Growth Partners, Blamar, Plug and Play, Brex, and other AI-focused funds.

Regulatory acceptance

Regulatory bodies have acknowledged the company's models: the California Department of Insurance approved Z-FIRE as part of an insurer's rate filing in 2019, marking the first time a machine-learning wildfire model was authorized for use in setting home insurance prices in the state. By 2025, insurance regulators in over 35 states, including Texas, Colorado, North Carolina, and Michigan, had approved or accepted ZestyAI's various risk models for wildfire, hail, wind, and water damage in rate filings.

Research contributions

ZestyAI has contributed to broader industry research and public awareness of climate risk. In 2025, an analysis by ZestyAI found that over $2.15 trillion worth of U.S. residential properties are at high risk of wildfire damage, including millions of homes in states not traditionally associated with wildfires, such as North Carolina and Kentucky. The study, published in Insurance Journal, highlighted that wildfire exposure extends beyond the Western U.S. and pointed out the limitations of outdated risk maps that often fail to account for property-specific factors. Insights like these have been referenced by insurers and policymakers in discussions about maintaining insurability in the face of climate change. ZestyAI's data have also indicated that more detailed, property-level risk evaluation can help insurers continue offering coverage in areas considered high-risk by legacy models, particularly when homeowners take mitigation steps.

Recognition

The company has received industry recognition for its work. In 2018, ZestyAI was named "Most Innovative Insurtech Startup" by Plug and Play's insurance innovation platform, as voted by a consortium of 80+ global insurers. ZestyAI has since appeared in various insurtech rankings and was listed among the Top 100 Insurtech firms globally by industry observers in the mid-2020s. Forbes magazine included ZestyAI in its annual list of America's Best Startup Employers.

Observers describe ZestyAI's rise as part of a broader insurance industry shift toward advanced analytics and AI. Insurance executives have noted that the company's models help them underwrite with greater precision, potentially reducing unexpected losses and improving resource allocation, such as targeting home inspections or incentivizing mitigation where it's most needed. As natural disasters intensify, ZestyAI's approach of combining big data, AI, and climate science has positioned the company as a participant in efforts to modernize risk management and maintain insurability for properties in hazard-exposed areas. Its continued expansion and endorsements by both investors and regulators indicate a notable industry presence in the adoption of AI for insurance underwriting and disaster resilience planning.

References

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