
Property Intelligence at Scale: How Geospatial Data Is Redefining Insurance Underwriting | Izik Lavy and Jacob Grob
About this episode
In this episode of Making Risk Flow, Jake Harding sits down with Izik Lavy and Jacob Grob from GeoX AI to explore how property intelligence is transforming insurance underwriting. They discuss how accurate geospatial data, computer vision, and confidence-scored models help carriers move beyond reactive decision-making, accelerate quotes, uncover profitable opportunities, and better manage risk. The conversation explores why deterministic data can outperform probabilistic AI, how deeper property insights reveal hidden value in complex markets, and why specialized technology providers are becoming essential partners for insurers. Discover how real-time property intelligence is reshaping portfolio strategy, pricing, and the future of insurance.
Izik Lavy is the CEO and co-founder of GeoX AI, a geospatial intelligence platform specializing in property data extraction and analysis for the insurance industry. With 15 years of experience in geospatial technology and expertise in building scalable computer vision solutions, Lavy has led GeoX's expansion from the Japanese and Australian markets into the United States.
Jacob Grob is the EVP of Sales for US Markets at GeoX, bringing 20 years of insurance data expertise to the conversation. Previously a senior leader at CoreLogic, where he gained deep exposure to building characteristics, catastrophe modeling, and replacement cost data, Grob now focuses on solving critical data blind spots through computer vision and scalable AI.
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Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.
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