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CAPE Analytics delivers AI-powered property intelligence that enables insurers, real estate investors, and financial institutions to make faster and more accurate decisions about property risk and value. The platform combines geospatial imagery analytics, computer vision, and machine learning to assess over 100 million properties across the U.S. and Canada at the individual address level.
For home and commercial insurance carriers, CAPE provides loss-predictive property attributes including Roof Condition Rating, Roof Age, roof geometry, exterior condition, vegetation analysis, and wildfire, wind, and hail risk scores. Personal lines underwriters and actuaries use these signals to streamline underwriting workflows, match rate and coverage to risk, and reduce unnecessary inspections by 20 to 50 percent.
The platform supports multiple delivery methods including API access for fully automated quote and bind workflows, batch processing for portfolio analysis, and a web application for human review of complex or exception risks. CAPE Foundry, the underlying data fusion engine, combines multiple conventional and unconventional data sources with machine learning to bring reliability scores to every property data point.
Real estate and mortgage stakeholders use CAPE to refine valuations, analyze bulk transactions, and monitor portfolio risk. Reinsurers access Cedent Intelligence to enhance secondary modifiers in catastrophe models, analyze cedent portfolio risk composition, and assess data quality for more accurate technical pricing.
- Assess homeowners insurance eligibility and underwriting risk using aerial property condition data
- Automate commercial lines underwriting workflows with API-delivered property intelligence signals
- Detect roof condition and roof age to reduce premium leakage and support accurate coverage decisions
- Identify wildfire risk at the address level combining hazard, vulnerability, and mitigation factors
- Monitor wind and hail exposure to prioritize inspections and improve claims readiness
- Refine residential property valuations using geospatial and condition data for mortgage and lending decisions
- Analyze bulk real estate portfolios and monitor risk characteristics across large transaction sets
- Enhance reinsurance catastrophe models with address-level property vulnerability data for cedent portfolios
- Support homeowner engagement with transparent mitigation recommendations to reduce property risk scores
- Streamline commercial property underwriting with COPE data for small commercial and habitational properties
