Kespry Launches Cloud for Insurance and Brings Enterprise Drone Platform to Insurance Sector

MENLO PARK, Calif., June 20, 2017

Kespry, the leading aerial intelligence platform provider, today announced that it is moving deeper into vertical markets with its formal entry into the insurance sector. The move allows Kespry to extend its end-to-end and easy-to-use enterprise drone platform by offering insurance specific functionality such as inspection-quality imagery for roofing and automated analysis to assist claim adjusters.

The company’s official entry into the insurance sector comes after extensive field tests and insurance specific improvements designed together with customers and industry leaders such as Hancock Claims Consultants, AMAT Roofing, CRU Adjusters and Superstorm Restoration.

“The easy-to-use and fully-integrated Kespry Drone Platform enables major industrial companies to collect more accurate information, more frequently, efficiently and safely. This drives greater cost savings and business value,” said George Mathew, CEO and chairman of Kespry. “Now, insurers can dramatically improve the policyholder experience through shortened claim cycles while also reducing loss adjustment expenses and minimizing liabilities and risks for field staff.”

The move into the insurance industry comes as the company makes significant strides in improving its cloud platform. In addition to significant upgrades in scalability, security and reliability, the platform also provides the mapping, rendering, data analysis and analytics required in comprehensive aerial intelligence applications.

The company also announced it is opening its architecture to third-party software providers to further extend its insurance capabilities and allow for easy integration with existing enterprise applications. To build and grow its ecosystem, Kespry has established a foundation for providing APIs for integration with third parties. This will also provide for bi-directional data sharing between Kespry and other enterprise systems.

Kespry’s field-to-finish experience is the only fully automated aerial intelligence solution designed to improve the property and casualty roof claim cycle. It provides claims adjusters and other insurance professionals with instant access to accurate data that is automatically processed and securely stored for immediate use. Data captured by the Kespry Drone delivers high-resolution imagery with 1 mm per pixel resolution, which is capable of detecting granule loss and physical damage. Field and desk adjusters have access to comprehensive roof dimensions and automated damage detection, with onsite availability of rooftop imagery made possible in less than 10 minutes.

One of the most powerful aspects of the new Kespry Cloud is the sophisticated machine learning algorithms and artificial intelligence designed to automatically identify hail damage. Customized wireframes are quickly produced for the entire roof and automated dimension reports are instantly available for high accuracy measurements. Insurers can then seamlessly move data into common estimate generation software and claims management systems to complete the claims process.

Kespry is the market’s only provider of a fully-integrated drone platform designed from the ground up for use in demanding industrial environments. The company has a proven track record for its work with more than 200 customers in the aggregates, mining, architecture, engineering and construction (A/E/C) industries around the world.

About Kespry
Based in Menlo Park, Calif., Kespry is the leading aerial intelligence platform provider that is transforming how organizations capture, analyze and share business insights. Kespry develops drone hardware, software and cloud services that deliver a seamless, accurate and highly efficient solution from field to finish. Founded in 2013, Kespry serves customers across North America, Europe and Australia such as Fluor, Lehigh Hanson/Heidelberg, Sully-Miller/Colas USA, Terus Construction, Webcor, Whitaker Contracting and Woolpert.

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SOURCE Kespry

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