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Cape Analytics

855 El Camino Real Ste 405, Palo Alto, CA, 94301, United States

Overview

CAPE Analytics uses machine learning and computer vision to create instant property intelligence and attributes that traditionally required on‑site inspection. The company’s product is aimed at organizations that finance, insure, and invest in residential and commercial properties. Since its founding in 2014, CAPE has grown to serve over 50 subscription customers, including Hippo Insurance, Amica Insurance, and State Auto Insurance. The business plans to diversify its suite of data sources and partnerships, expand its coverage footprint across the U.S., Canada, and beyond, and grow its machine learning, data science, and risk teams. The company emphasizes rapid, scalable property insights for underwriting, valuation, and risk decisioning. The Series C funding will accelerate creation of new property insights for its growing client base. Cape Analytics applies computer vision and machine learning to geospatial imagery to produce property intelligence at the time of quote. Its platform delivers comprehensive property attributes with the accuracy of on-site inspection and the speed and coverage of property record pre-fill. The company maintains a historical database of over 90 million structures in the U.S., enabling time-series analyses, linking property characteristics to loss, and detecting property changes over time. Cape Analytics serves insurers and other property stakeholders, and is backed by leading venture firms and innovative insurers. Founded in 2014 and based in Mountain View, Calif., the company is staffed by experts in computer vision, data science, and risk analysis. It plans to accelerate development of solutions for property insurers leveraging geospatial analytics and other unique information sources. Cape Analytics uses computer vision and machine learning on geospatial imagery to create a structured database of property attributes for insurers and reinsurers. Its data includes building footprints, roof condition, nearby hazards, and other features, and covers over 70 million buildings across the United States. The product delivers instant property intelligence at the time of underwriting or quote, enabling more accurate pricing and faster online quotes with fewer consumer questions. Founded in 2014 and based in Mountain View, Calif., the company expanded coverage from Florida to nearly every single-family home in the country and has tripled headcount since its last financing. The fresh $17M will be used to expand sales and AI-centric product development teams in response to rapid customer interest and adoption. Cape Analytics also plans to explore expansion into new geographies and additional insurance applications to improve data quality used for insurers' critical decisions. Cape Analytics provides a cloud-based platform that uses geospatial imagery, computer vision and machine learning to automatically extract proprietary property data. Its API integrates with insurance carriers' quote engines to deliver near inspection-quality property feature data across entire portfolios. The data is intended to improve underwriting, speed and accuracy of quotes, and enhance the agent and customer experience. The company plans to use the funds to expand its engineering and sales teams and to bring its proprietary data platform nationwide. Cape Analytics was established in 2014 and is led by CEO Ryan Kottenstette and CTO Suat Gedikli. It is based in Palo Alto, CA, and maintains additional offices in Munich, Germany.

Total raised
$75M
Funding rounds
4
Latest round
Series C
Latest activity
Jul 2021

Industries

  • Analytics
  • Artificial Intelligence (AI)
  • Big Data
  • Information Technology
  • InsurTech
  • Machine Learning
  • Real Estate
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Recent funding

  1. Series C

    Jul 2021

    $44M

  2. Series B

    Jun 2018

    $17M

  3. Equity

    Nov 2016

    $14M

Team

  • Ryan Kottenstette

    CEO & Co-Founder

    LinkedIn
  • Suat Gedikli

    CTO and Co-Founder

    LinkedIn
  • Sheetanshu Pandey

    Chief Technology Officer

    LinkedIn
  • Olivier Collignon

    VP Product and Data Science

    LinkedIn