Study case

Insurances

Sevara can help to define the most suitable policies, based on the percentage of risk associated with the policyholder.

Risk is an important element of the insurance contract. With sevara.io, estimating the likelihood that the event will occur is more accurate. Life and property insurance can become more beneficial to insurance companies and at the same time truthful to policyholders.

Thanks to sevara.io, the insurance companies can calculate the probability of natural disaster’s risk, which will protect customers in the event of floods, heavy rains and fires.

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Distance from the areas at wildfire risk

Distance from the areas at wildfire risk

There are territories more exposed to the flare-up phenomenon than others. The goal of our research team was to understand what are the characteristics that increase the risk, in order to obtain a map that brings together the variables involved and describes the areas in which a fire event is more likely to occur, the algorithm also includes the past risk history.

When estimating the fire risk insurance of a building, the insurance takes into consideration not only the buildings, but also the surrounding areas, such as gardens, adjacent and relevant areas; the same applies to agricultural land. With the sevara.io layers, the calculation of the fire risk policy will be more accurate and reliable.

Area at high fire risk hazard
check Monitoring of the territory
check Reliable fire risk hazard
check Suitable policies
check Availability of historical information

Distance from the areas at flood risk

Distance from the areas at flood risk

Thanks to the information obtained from sevara.io, the insurance companies can know the flood risk probability.

Sevara.io, provides information about the distance from waterways and lakes, as well as classification of areas prone to flash floods and floods and flood hazard estimation.

Area at high flood risk hazard
check Monitoring of the territory
check Reliable flood risk hazard
check Suitable policies
check Availability of historical information

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