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cape analytics

AI-powered property intelligence platform for risk assessment and insurance underwriting.

Our take: CAPE Analytics delivers address-level property risk intelligence to insurers and lenders via aerial imagery, computer vision, and machine learning.

Best forInsurers
ReviewedPricing: Paid
7.1 out of 105 criteria · see breakdown
Try capeCustom enterprise pricing; contact for quote
The bottom line

Enterprise geospatial property intelligence for serious insurance underwriters — now backed by Moody's risk modeling infrastructure.

Our score

Reviewed by the Conversion Gems editorial team. Hover a facet to focus it; click to pin.Tap a facet to focus it.

What it is, and why we rate it

One line each. Open a row for detail.

What it really isCAPE Analytics — AI-powered geospatial property intelligence platform for insurance underwriting, now a Moody's company.
Our takeCAPE Analytics delivers address-level property risk intelligence to insurers and lenders via aerial imagery, computer vision, and machine learning.
Its Roof Condition Rating is trusted by over half of top US carriers and approved for ratemaking in 40 states. Acquired by Moody's in January 2025, it now integrates into Moody's Intelligent Risk Platform. It is enterprise-only, with no public pricing. This is an InsurTech and property risk analytics platform.
Why we rate itProven loss-predictive accuracy, 70%+ automation of personal lines applications, ratemaking approval in 40 US states, and Moody's backing make CAPE the benchmark for AI-driven property intelligence in the carrier market.
The catchFully enterprise and custom-priced with no self-serve access or free trial.
Smaller carriers and startups face a long enterprise sales cycle before seeing any output.

Best / not good for

Best for
  • P&C insurers automating underwriting at scale
  • Mortgage lenders and portfolio managers assessing property risk
  • Commercial lines carriers performing COPE analysis
Not good for
  • Startups or small teams without enterprise budgets
  • Non-insurance use cases needing generic property data
  • Teams requiring self-serve access or sandbox trials
Trade-offs

Friction report

Trade-offs to know before signing up.

  1. Time to value
    Slow: enterprise sales cycle and integration required before any access to data.
  2. Scale breakpoint
    Volume-based pricing may escalate sharply as API call volumes grow across large portfolios.
  3. Walled garden
    High: proprietary data pipeline and CAPE-specific risk scores with no data portability.
Still a fit?
If none of these block you, try it on the official site.
Try cape

Frequently Asked Questions

How does this platform use aerial imagery and AI to assess property for insurance?

It analyzes high-resolution aerial imagery to identify property features, assess damage risks, and support accurate insurance underwriting.

Can investors access commercial real estate market intelligence through this platform?

Yes, investors gain access to commercial real estate intelligence including vacancy rates, sales comps, demographic data, and forecasting analytics that support strategic investment planning and portfolio growth.

How can Cape Analytics provide instant property insights from aerial imagery?

Cape Analytics extracts property insights from aerial imagery, providing instant analysis for insurance and real estate.

How does the platform use geospatial imagery to identify roof condition ratings and potential property hazards?

Geospatial imagery analysis identifies roof conditions and potential property hazards by assessing structural features and visual anomalies using AI algorithms.

What predictive analytics and insights does this platform provide for insurance or risk management?

The platform delivers predictive analytics, risk scoring, and trend insights to support insurance underwriting and risk management.

Alternatives

  • Step up

    Moody's Intelligent Risk Platform for full catastrophe modeling and portfolio-level analytics.

  • Lighter alternative

    CoreLogic Property Intelligence for lower-friction geospatial property data with broader market entry.

Showing 1–2 of 2

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Tags

#PropertyInsurance#AI

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