ResiQuant helps U.S. property carriers and MGAs transform NatCat underwriting from manual, judgment-driven workflows into scalable, engineering-grade infrastructure—unlocking profitable growth in markets where generalist AI falls short.

Our purpose-built AI reasons about how buildings actually perform in earthquakes, wind, and wildfire, independently validating construction type, retrofit status, and other critical drivers of loss that imagery and rules alone can’t reliably assess at scale.

The result: faster quotes, more consistent pricing, stronger risk selection, and cleaner exposure data for reinsurance.

Built by Stanford disaster risk scientists and structural engineering PhDs. Backed by LDV Capital, Foothill Ventures, Pear VC, Alumni Ventures, and strategic angels.

Get started today at www.resiquant.ai.

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