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Property and data enrichment tools provide aerial imagery analysis, hazard scoring, and property intelligence for underwriting decisions. These platforms augment traditional inspection data with AI-derived insights about roof condition, vegetation, and proximity to hazards.
6 tools in this category
P&C carriers who need the deepest property data coverage and replacement cost accuracy across their entire book, particularly for multi-state, multi-peril portfolios
CoreLogic (Cotality) is the data backbone that most P&C carriers already depend on in some form. The question is not whether to use it, but which AI-powered modules (Araya, hazard models, weather verification) add enough value to justify activating beyond what you already license. Start with a coverage and accuracy audit of your current CoreLogic data, then evaluate incremental modules against their specific underwriting or claims ROI.
Read full reviewby CoreLogic (now Cotality)
P&C carriers who need the deepest property data coverage and replacement cost accuracy across their entire book, particularly for multi-state, multi-peril portfolios
by Nearmap
P&C carriers who need both current aerial imagery and AI property analytics in a single platform, particularly for underwriting, claims, and catastrophe response
by Cape Analytics
P&C carriers underwriting standard residential homeowners at volume who want automated roof condition and property hazard data without physical inspections
by EagleView
P&C carriers and adjusters who need accurate property measurement data integrated into Xactimate claims estimation workflows, and those who use drone inspections for post-loss assessment
by HazardHub (Guidewire)
P&C carriers, especially Guidewire shops, who need fast, broad hazard data enrichment at the point of quote without building integrations to multiple data vendors
by ZestyAI
P&C carriers writing in CAT-exposed territories (California wildfire, Gulf Coast hurricane, Midwest hail) who need property-level peril scoring that goes beyond traditional hazard maps and ZIP-code models