CAPE believes that helping clients navigate the rapidly changing regulatory landscape is critical to their long-term success. Since 2019, CAPE’s dedicated regulatory team has worked diligently with clients and state departments of insurance (DOIs) and is proud to announce an exciting new milestone: CAPE’s Roof Condition Rating (RCR) has now been approved for use over […]

TAMPA, Fla. – July 18, 2024 – Juniper Re, LLC (“Juniper Re”), the dynamic reinsurance broking arm and indirect subsidiary of The Baldwin Group, the go-to-market brand name for The Baldwin Insurance Group, Inc. (formerly BRP Group, Inc.) (“Baldwin”) (NASDAQ: BWIN), and CAPE Analytics, Inc. (“CAPE”), a leading provider of AI-driven property intelligence, are pleased […]

New joint initiative brings significant benefits to CAPE clients, following integration of both EagleView’s expansive, high-quality, high-resolution aerial imagery collection and its annual photo capture of top 50 metro markets. Palo Alto, California — July 16th, 2024 — Today, CAPE Analytics, the leader in AI-powered property insights for insurance and real estate risk, is announcing a […]

New partnership with Vexcel Data Program increases CAPE’s coverage to over 99% of U.S. households and adds access to post-disaster imagery. Palo Alto, California and Centennial, Colorado — June 18, 2024 — Today, CAPE Analytics, the leader in AI-powered property insights for insurance and real estate risk, and Vexcel, the global leader in aerial imaging, are […]

CAPE’s solution is leveraged by top-20 P&C carriers and utilizes aerial imagery and machine learning-powered change detection to produce an accurate roof age for residential and commercial properties across the U.S. Roof age, a key factor in modern insurance workflows, has long relied on inaccurate data from sources like agents or homeowners and incomplete data […]

With hail losses increasing in recent years, accurately assessing the property risk posed by hail has become crucial. Historically, this assessment relied heavily on general weather data, including storm frequency, seasonal patterns, and historical records of severe weather incidents. This approach lacks the specificity and accuracy needed for granular risk analysis at the property level. […]