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Brava Roof Tile Selects ZestyAI’s Roof Age and Z-PROPERTY™ to Advance Data-Driven Roof Performance

AI-driven roof and parcel-level insights validate real-world performance of synthetic roofing solutions 

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Brava Roof Tile Selects ZestyAI’s Roof Age and Z-PROPERTY™ to Advance Data-Driven Roof Performance

ZestyAI announced that Brava Roof Tile, a leader in premium synthetic roofing solutions backed by Golden Gate Capital, has selected ZestyAI to validate the real-world performance of its roofing systems during past storms.

Brava Roof Tile is leveraging three of ZestyAI’s proven solutions to bring greater clarity to roof performance and replacement opportunities. Roof Age synthesizes building permit data with 20+ years of high-resolution aerial imagery, applying advanced machine learning to deliver verified roof age estimates with 97% U.S. coverage. 

Within  Z-PROPERTY™, Digital Roof applies AI to assess roof complexity, materials, and condition, flagging vulnerabilities before they become costly failures, while Location Insights evaluates the broader parcel to surface risk factors such as vegetation overhang, yard debris, and secondary structure.

Together, these insights provide comprehensive coverage, unmatched accuracy, and fast deployment at scale, turning property-level data into actionable guidance on roof vulnerabilities and replacement opportunities.

“Brava is committed to helping homeowners protect their most valuable asset with roofs that combine durability, sustainability, and beauty,” said Matt Pronk, Chief Financial Officer of Brava Roof Tile.

“With ZestyAI, we gain a clear, data-driven view of how roofs perform in the real world and use those insights to guide families toward stronger, longer-lasting protection.”

“Brava Roof Tile is showing how ZestyAI's risk analytics can be applied to validate resilience in the real world,” said Attila Toth, Founder and CEO of ZestyAI.

“Our mission is to protect families, communities, and their financial wellbeing, and our unmatched coverage and accuracy make that possible at scale."

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