GeospatialAIforagriculturalrisk

Demandforfrost-coveragepolicieswasgrowing,andquotinghundredsofpoliciesoverseveralweekswasputtingpressureonoperations.GaliciaSegurosneededanswersinseconds,withoutlosingprecisionorriskcontrol.

+ 0 M USD

innewpremiumsgeneratedinsixweeks

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CHALLENGE

Thechallengewastogenerateaccurate,comparablequotesatscalebycombininglandvariableswithhistoricalclimatedataforeachregion.

Manualanalysiswasslow,error-prone,andhardtoaudit,makingitdifficulttorespondquicklyduringdemandpeaksandtokeeppricingconsistent.

SOLUTION

Wereducedfrost-riskassessmenttoseconds:combininglanddataandhistoricalclimatetoquotewithconsistent,auditableprices.

Producersandbrokersenterlandandlocationdataintotheplatform;theland-and-climatemodelvalidatesriskexposureandbuildsthepricinglogic.Aconsistentriskandpricingmapisgeneratedforeachregionandsub-region,enablingquotestobeissuedinseconds.

Themodelscalestootheragriculturalrisksandcommerciallines.

IMPACT

0 %

Reductioninprocessingtime

0 M

Additionalpremiumsgenerated

0 +ha

Areaassessedandquoted

Theoutcomesweresignificantacrossmultiplefronts:

100% auditable and traceable processes, with uniform pricing and risk criteria across the country.

Processing time reduced by over 90%, enabling responses in seconds during demand peaks.

Premium and coverage growth: 125,537 hectares quoted (14.74% of the total subscribed).

Operational scale: from 300+ applications in six weeks to continuous, predictable quoting flows throughout the year.

Better experience for producers and brokers: clear rules, short response times, and greater confidence in pricing.