Floodcaster
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Floodcaster’s AI 3D flood-inundation model projects flood depth property-by-property — so property insurers can see which homes flood first, write better risks at the right price, and clear every decision with a tamper-evident, replayable certificate.
U.S. Patent Application No. 19/575,615 · patent pending · Next Shift Consulting LLC
Underwriting & pricing
Price and select risk property-by-property — not by zone.
Exposure monitoring
Watch portfolio exposure shift as events approach.
Catastrophe response
Turn the warning window into defensible moves before FNOL.
Claims & fraud
Check losses against event and property evidence; flag inconsistencies for review.
An AI agent may propose an action — it cannot trigger one. A patent-pending Floodcaster clearance first verifies identity, permissions, model and data lineage, policy compliance, evidence sufficiency, and human review, then issues a tamper-evident, replayable authorization.
If evidence is incomplete, a policy check fails, or an artifact changes, the action is refused — a replayable, audit-ready answer to not only “what did the AI recommend?” but “why was it allowed to act?”
Flood and property risk is the first vertical. The certification layer is peril- and domain-agnostic — the same admissibility contract (evidence, scope, limits, replay) can govern any regulated automated decision.
What you’d get
The AI 3D flood-inundation model is in private prototype. Early-access carrier design partners run the model against their own portfolio, get a seat in the working sessions, and lock pricing before general availability.
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