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Cape Analytics vs CoreLogic (Cotality)
Side-by-side comparison of Cape Analytics and CoreLogic (Cotality). See how they stack up in pricing, features, and real-world use cases for insurance.
Cape Analytics
by Cape Analytics · Redwood City, CA
Property Intelligence
Enterprise from Contact Sales
- Moves roof condition data collection out of the inspection queue and into an automated API call, which reduces cost per policy and speeds up the underwriting decision
- Portfolio-level analysis can surface renewal candidates with elevated risk before they generate a claim
- Detection of undisclosed property changes (solar panels, additions, new pools) supports premium accuracy and reduces adverse selection
- Carriers must calibrate internal underwriting guidelines to the Cape condition score scale — a Good/Fair/Poor classification needs to map to your specific declination and pricing thresholds
- Imagery currency is a real limitation in lower-density markets; ask for coverage maps before assuming the data is actionable in your target territories
- Not a substitute for physical inspection on high-value properties or complex roof types where imagery analysis has higher error rates
- 01 Enriching new business applications with roof condition and hazard feature data before underwriter review
- 02 Running the renewal book against current imagery to identify policies where roof condition has deteriorated since original inspection
- 03 Supplementing wildfire underwriting with vegetation proximity scores for properties in brush-adjacent territories
- 04 Identifying solar panel additions that affect replacement cost and fire risk in existing policies
- 05 Supporting post-CAT response by querying pre-event property data for impacted addresses
Cape Analytics is a practical data source for carriers underwriting standard residential property who want to reduce reliance on applicant self-reporting and physical inspections. The roof condition and hazard feature data adds genuine signal at the point of quote. Calibrate the score thresholds against your own claims data before treating it as a hard underwriting filter.
CoreLogic (Cotality)
by CoreLogic (now Cotality) · Dallas, TX
Property Intelligence
Enterprise from Contact Sales
- 150M+ property database provides the broadest coverage available, meaning fewer data gaps in your writing territories compared to smaller competitors
- Existing integrations with most policy admin platforms mean activating new CoreLogic modules is typically faster than onboarding an entirely new vendor
- Weather verification for claims is a capability that no other property data vendor in this category offers
- Licensing complexity across multiple CoreLogic products can result in overlapping data purchases and unclear total cost of ownership
- The Cotality rebrand and Araya platform launch mean the product lineup is in transition; confirm that the specific modules you need are stable and fully supported
- Data currency on older properties with limited public records can lag; validate coverage quality in your specific writing territories
- 01 Enriching new business and renewal applications with COPE data and AI-powered replacement cost estimates at the point of quote
- 02 Scoring multi-peril risk (earthquake, flood, wildfire, wind) across the entire book for CAT exposure management
- 03 Verifying weather conditions at reported loss locations and dates to support claims accuracy and fraud detection
- 04 Identifying under-insured and over-insured properties in the renewal book using AI replacement cost models
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.