AI + weather data · Insurtech (USA)
Lead generation for insurers with AI and real-time weather data
When a storm hits an area, some property owners have just become potential customers — and there is a short window to get there first. We built a platform that crosses real weather events with geospatial property data to identify those opportunities while they are still opportunities.
Problem
Identifying properties with potential weather damage by hand arrives late: by the time the sales team reacts, the opportunity has passed.
Result
Leads generated in real time by crossing weather events with geospatial property data. Today it covers three US states.
The context
In insurance and property services, timing is everything: a lead is worth more in the hours after the event than a week later. The manual process — watching the weather, guessing areas, cold calling — is systematically late and wastes the sales team on areas where nothing happened.
The data existed: weather services report hail, wind and severe storms with area-level precision. What was missing was the automatic cross between "where it hit" and "which properties are there" — and turning that cross into actionable work for a salesperson.
How it works
The platform monitors 100% of the weather stations in its territory — today, three US states — and, when it detects a severe event, runs the geospatial cross: which properties in the client’s territory fall inside the affected area. Then the AI layer kicks in: prioritizing, filtering and writing the context of each opportunity so the sales team receives a workable lead, not a coordinate.
The whole system is multi-tenant and self-serve, with an integrated payment gateway: each company subscribes, defines its territory and sees only its data, on shared infrastructure. And since value decays by the hour, the architecture is built for low end-to-end latency — from weather event to lead on screen.
Engineering decisions
Decision 01
Geospatial first, AI second
The spatial cross (PostGIS) does the heavy filtering: it is exact, cheap and fast. The language model comes in afterwards, where it adds value: prioritizing opportunities and writing the context. Using AI for what a spatial query solves better would mean paying more for less precision.
Decision 02
Multi-tenant from day one
The platform serves multiple companies with strict per-tenant data isolation. Designing it later is a painful migration; designing it first is an architecture decision.
Decision 03
Actually real time
A storm lead is worth hours, not days. The full pipeline — event ingestion, cross, prioritization, notification — is measured and optimized so the sales team can act the same day.
What changes for the business
The sales team stops chasing cold lists and starts the day with opportunities qualified by a real event: they know where, they know why, and they arrive before the competition.
- Proactive leads based on real events, not purchased lists.
- Territory is worked when it is worth it: hours after the event.
- Less sales burnout in areas with no damage.
- Multi-tenant with an integrated payment gateway: each company subscribes and operates its territory with isolated data.
Where else it applies
Insurers & brokers
Proactive post-event contact across their book and territory.
Property restoration
Arriving first where damage just occurred.
Energy & telecom
Prioritizing infrastructure inspection after severe events.
Agriculture
Triggering parametric policies and assessing damage by area.
FAQ
Frequently asked questions about this case
Where does the weather data come from?
From professional weather services covering the client’s territory, consumed via API in real time. The platform is provider-agnostic: we pick the best available data for each geography.
Does this respect property owners’ privacy?
The platform works with property data from public sources and the client’s own data, within the legal framework of its territory. It does not track people: it crosses weather events with locations.
Does it integrate with our CRM?
Yes. Leads are delivered via API or direct integration, with the event context included, so they enter your existing sales workflow.
Does it work outside the United States?
The architecture does; coverage depends on the quality of weather and property data available in each country. It is the first question we evaluate in a new territory.
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