At CyStellar, they remotely detect risks, automatically classify objects from the risk point of view, and consistently monitor risks over time. The cumulated risk information feed is seamlessly integrated into the (re)insurers workflows and offers dazzling insights on almost any place on the globe and it is directly linked to the insurancepolicies. Their solution improves profitability through more intelligent underwriting and quicker claims assessment.The CyStellar cloud-based platform seamlessly integrates between satellites, ground sensors and enterprise software, such that all the data is automatically collected, sent to the cloud, analyzed, and displayed in useful form, ideally in near–real time. Their data acquisition process is driven by information extracted from millions of insurance policies, pre-matching individual policies (assets and risk factors) to satellite and aerial data sets defined by required resolution spectrum and frequency. In this way, CyStellar always integrates the best external data set at the lowest possible price while provides insurers with a completely integrated solution.

Agriculture & Farming

AgTech

AI/ML

Blockchain

Data

Information Technology

Insurance

InsurTech

CyStellar

Peter Bunus

Serdar Uckun

James Martin

Harriet Smith

CyStellar

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