Property risk engine

Gera Peril Map

A deterministic property-and-liability quantification engine. Feed it an address or scenario and it returns version-pinned peril and liability factors — flood, wildfire, seismic, subsidence, replacement cost, code-upgrade and tort exposure — with sourced citations, as an MCP/API for any insurance, lending, or real-estate decision.

Register interest →All concepts

Early concept — we are gauging interest before we build. Not yet a live product.

The gap in the AI age

Insurance, lending, and real-estate agents need defensible, sourced risk numbers — not a model’s confident guess about a specific address.

How it would work
1

Locate

An agent submits an address, asset, or scenario.

2

Quantify

The engine returns sourced peril and liability factors.

3

Cite

Returns a citable risk packet defensible to a regulator.

Who calls it

Insurance-quoting agents, underwriting copilots, real-estate assistants, and claims tools; enterprises buy seats.

Why it wins as AI gets stronger

The licensed, continuously-refreshed peril and actuarial corpus normalized to address level is hard to assemble and easy to defend.

Would you use Gera Peril Map?

Register your interest and we will let you know when it goes live. No spam.

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