Pitch – Izik Lavy
summary
GeoX builds a nationwide property-intelligence service that uses aerial imagery plus machine learning and pattern recognition to extract roof type, story count, solar panels, trees, pools and parking layout into a 3D model, delivering damage assessment in milliseconds. Claims cut insurer losses up to 50%, translating to a potential saving of >$230B against historical US losses (2000–2010 $200B, recent decade $520B), and is already deployed with major insurers and reinsurers across the US, Japan and Europe.
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chapters (12)
- 0:00Introduction
- 0:43CEO takes the stage
- 1:25Founding story and problem
- 2:27Insurance losses and Geox’s solution
- 3:08Key use cases for property intelligence
- 4:53Global reach and industries
- 5:13Machine learning analyzes property data
- 6:16Flood risk assessment with Geox data
- 7:00Commercial and residential property insights
- 8:04Geox’s value across insurance value chain
- 8:46Mission and closing remarks
- 9:08Q&A
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