PRODUCT

As climate risk becomes material, outdated models,
lack of both knowledge and data, make it difficult to quantify its impact.

We built a platform for
that makes climate risk assement tranparent, fast, handy and precise

Flood Risk: We have an intensive NWP model to downscale and forecast rain. This data is fed into hydrological models to get outputs of 30metre flood risk.

Typhoon Risk: A 4km hurricane product for typhoons/hurricanes encompassing factors like hurricane intensity, number of landfalls.

Draught Risk: An industry-tailored draught index, Standard precipitation Index granular output derived from models precipitation.

Wind Risk: We model and forecast winds and translate it into risks for wind farms .

Extreme Temperature Risk: An information about extreme temperature events is important for Agrofood, Construction industries..

What is  ?

solution


We quantify climate risk by using advanced dynamic climate models hence granular mapping.

Problems

Outdated weather models to forecast climate related risks.

Lack of understanding of climate events.

Geolocation data is not granular 200X200km resolution only.

problems-graphic
problems-graphic

Solutions

Cutting Edge Numerical Weather prediction models that run on supercomputing power.

Mapping and correlating geolocation data with climate risk to improve company’s risk assessment .

The methodology uses advances ML/AI algorithm for data cleaning to reduce bias and in data analytics to provide relevant metric.

Worldwide Data, Intelligent SaaS Platform with User Input.

CORE TEAM

team-profile-1
Dr Entela Benz
Co-founder & CEO
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Dr Saurabh Singh
Co-founder & CTO

Advisors

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Prof. Jimmy FUNG
Head, Division of Environment & Sustainability, HKUST
Team User
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Prof. Johnny CHAN
Chair Professor of Atmospheric Science, CityU Hong Kong
Team User

Contact

Have questions? We’re happy to help.

  • +852 9838 9615
  • info@intensel.com