Zesty.ai
AI-native property risk intelligence platform specialising in wildfire and catastrophe risk scoring for US homeowners and commercial carriers. Z-FIRE, its wildfire model, was the first AI-based rating model approved by the California Department of Insurance (June 2021) and now covers carriers insuring roughly 40% of the California homeowners market, alongside Z-HAIL, Z-WIND, and Z-STORM for severe convective storm perils.
zesty.ai ↗Score
- Traction (named carrier deployments)9 carrier deployment(s) with public source.
- 3/5
- Maturity (years since founding)11 years since founding (2015).
- 4/5
- Coverage (insurance lines supported)2 line(s) supported: home, commercial.
- 2/5
- Analyst recognition (Celent / Gartner / Forrester / Everest / ISG)4 mention(s).
- 2/5
What it does
Zesty.ai is the AI-native property-risk platform most directly associated with the wildfire peril. Founded 2015 in the San Francisco Bay Area (HQ at 4th Street, Oakland) by Attila Toth, the company pivoted hard into catastrophe risk after the 2017 California wildfire season — the Tubbs, Thomas, and related fires that reset the insurability of the Western US homeowners book — and has been the clearest "climate-native" property-risk vendor in the US market ever since.
Product footprint. The core model is Z-FIRE, a property-level wildfire score built from high-resolution imagery, topography, vegetation, defensible-space analysis, building materials, and more than twenty years of historical loss data across 1,400+ wildfire events. Around Z-FIRE Zesty has layered Z-HAIL, Z-WIND, and Z-STORM (severe convective storm), plus Z-PROPERTY for structural attributes and Roof Age as a stand-alone pre-fill signal. The stack is deliberately peril-specialist, not a general property-intelligence feed.
Regulatory moat. In June 2021 the California Department of Insurance approved two rating and underwriting filings using Z-FIRE — the first AI model ever approved by the CDI for rating purposes. Farmers Insurance went live with that filing the same month, positioning the adoption as a way to write more homes in high wildfire-risk areas of California rather than fewer. The precedent matters because it converted Z-FIRE from an underwriting-only signal into a priced rating variable, and because California remains the most contested regulatory environment in US homeowners insurance. By 2025 the model was in use by carriers representing roughly 40% of the California homeowners market, and Zesty reports more than 80 insurance-department approvals across its wider model portfolio nationally.
Named customers and distribution. The publicly disclosed customer roster is unusually strong for the category: Farmers Insurance, The Cincinnati Insurance Company, Amica Mutual, MetLife, CSAA Insurance Group, the California FAIR Plan Association (renewed June 2025), Kin Insurance (California entry, 2025), NEXT Insurance (small-commercial, 2025), and — as a high-profile brokerage deal in February 2026 — the Private Client Services team inside Marsh McLennan Agency, which uses Z-FIRE, Roof Age, and Z-PROPERTY for catastrophe-exposed high-net-worth homes. The mix of standard-lines carriers (Farmers, Cincinnati, Amica, CSAA, MetLife), digital direct-to-consumer insurers (Kin), small-commercial (NEXT), and broker distribution (MMA) gives Zesty a more diverse go-to-market than most peers.
Ownership and funding. Zesty is venture-backed and remains independent. A $13M Series A (December 2018, led by Blamar) was followed by a $33M Series B in July 2022 led by Centana Growth Partners with Brex providing debt alongside the equity; cumulative external funding is approximately $46M by PitchBook/Tracxn reckoning. The company has not been acquired — unlike Cape Analytics (Moody's, January 2025) or Betterview (Nearmap/Thoma Bravo, December 2023) — and the Series B was explicitly positioned as fuel for expansion into additional climate perils and non-insurance verticals (mortgage, real estate) rather than a sale-process round.
Where it sits vs Cape Analytics and Nearmap. Cape Analytics is the broader structural-attributes play, built from computer-vision-on-imagery and focused on roof condition, pool, vegetation overhang, and pre-bind inspection replacement. Nearmap is the aerial-imagery rail itself, now Thoma Bravo-owned and bundled with Betterview's CV layer. Zesty.ai is the catastrophe-peril specialist — the model-layer vendor that carriers procure when they need a price-able, regulator-approved wildfire (or hail, wind, SCS) score rather than a general property-characteristic feed. The three are complements more often than substitutes inside a large carrier's data stack, and the clearest sign of Zesty's specialised positioning is that its go-to-market lives partly through the regulator (CDI filings, state insurance-department approvals) rather than purely through carrier procurement.
Implication for this catalogue. Zesty.ai is the reference AI-native vendor in the catastrophe-modelling subset of the risk-imagery layer. It is the one to cite whenever a carrier's wildfire — or increasingly severe convective storm — exposure is the load-bearing underwriting question, and the one whose regulatory path through the California CDI has set the template for how AI models get priced into homeowners rating plans in the US.
Named deployments
- Farmers Insurance (US)Farmers Insurance Newsroom
- California FAIR Plan Association (US)ZestyAI
- The Cincinnati Insurance Company (US)PR Newswire / Cincinnati Insurance
- Amica Mutual Insurance (US)Reinsurance News
- MetLife (US)ZestyAI
- CSAA Insurance Group (US)CSAA Insurance Group
- Kin Insurance (US)ZestyAI
- NEXT Insurance (US)ZestyAI
- Marsh McLennan Agency (Private Client Services) (US)Insurance Journal
Known limitations
- Zesty.ai is explicitly a catastrophe-peril specialist (wildfire, hail, wind, severe convective storm). Unlike Cape Analytics or Betterview/Nearmap, it is not positioned as a general-purpose structural property-attributes vendor — carriers that need broad roof-condition, pool, and pre-inspection feeds alongside catastrophe scoring typically procure Zesty in parallel with one of those imagery vendors rather than as a replacement. (ZestyAI)
- Regulatory exposure is concentrated in California and a small number of other states. Z-FIRE's rating-plan adoption depended on the California Department of Insurance's first-of-its-kind AI model approval in June 2021, and subsequent growth has followed state-by-state insurance-department filings — a slower path than unregulated underwriting-only deployments. (ZestyAI)