Cape Analytics uses geospatial imagery, computer vision and machine learning to establish a new category of real estate property data, with current and accurate property information, accessible instantly, for nearly every structure in the U.S. This technology is powering more profitable investment decisions and valuation assessments for real estate and mortgage investors. To date, real estate, SFR and mortgage investors have had to rely on inaccurate and outdated property records, or costly and time-consuming drive-by property inspection reports when making investment decisions. Cape Analytics uses high-resolution geospatial imagery (from planes and satellites) and computer vision to extract data, such as critical property features, roof and yard condition, in order to power more accurate property valuation and risk decisions.
- Offers instantly-accessible property condition information for 110 million buildings across the U.S
- Helps clients detect issues that are otherwise missed by cursory inspections with a view of the entire parcel
- Currently serving over 40 large customers across real estate, mortgage and insurance
Real Estate Investment and SFR
Palo Alto, CA