• Asia’s Climate Risk
    Analytics for Asia
    Asset-Level Predictive Climate Risk In Dollar Value
  • Advanced AI Modelling
    for Wind Prediction
    with Climate Change
    High Accuracy at a Fraction of Time and Costs
About Us

Cutting-edge technology, latest academic and industry research

Intensel uses state of the art modelling approaches to create high quality in-house datasets. These data sets solve crucial challenges of high-quality information, data analysis and capacity to use climate risk for building, insuring and financing climate-resilient infrastructure.
Asset Level
Granularity

Our models evaluate climate risks on individual building footprints, wind turbines or bridges, leading to precise asset-specific damage risk, as well as business interruptions, risk assessments.

Filling Data Gaps and
Forecasting

Intensel unique AI-NWP approach fills the missing historical, regional data gaps, thus enabling short, medium and long-term accurate forecasts based on terabytes of processed data.

Enhanced AI and Dynamic Climate Analytics

Comprehensive climate risks from typhoons to floods. Asset-level climate risk projections. Stress-test scenarios on RCP 4.5 and 8.5. Return period evaluation from 20- 500 years.

Exposure and Vulnerability mapping

Exposure and vulnerability analysis. Deploying the latest modelling approach on typhoon and flood resilience taking account of build infrastructure, and other alt data.

Estimate Carbon Emission and Portfolio Footprint

Using AI and geospatial data to estimate Carbon Footprint and Transition-Related Costs for TCFD Reporting and portfolio allocation.

OUR SERVICES

Explore Our Main Services

Flooding

Uses high-resolution data and AI-enhanced DEM to create flooding maps resulting from rainfall, taking into account both pluvial and fluvial aspects

Wind/Solar/Cloud Cover

NWPs along with AI models are used to create short/medium/long term forecasts at the wind and solar power sites

Sea Level Rise

Modelled and satellite-observed sea-level rise corresponding to different climate forcing and return periods

Hurricane

AI trained and modelled forecasts thet are updated post every event, giving ensemble forecast based on several factors and climate forcing

Drought

Intensel Drought Index (IDI) uses NWP output parameters such as ground-water depletion, snowmelt, rainfall index trained with AI and reinforced with satellite data

CO2 Emissions

Uses alternative high-resolution satellite data coupled with NWP-Chem and AI to output revenue per tons of CO2 emissions, making companies greener

Way We Work

Our Working Process

We make use of high-quality data set and AI to deliver quality solutions through Software as a Service(SaaS)
01
Data Modeling & Collection

We run weather models plus collect datasets from satellite and observation stations thus a robust data assimilation process

02
Reinforcing with AI Models

The datasets are then used to train different AI models to improve dynamicity, forecasts and automated models

03
SaaS

Intensel provides a ready-to-use SaaS that leverage the power of big data and fast AI simulations online

Our Latest Case Studies

image
Climate induced Megadrought
image
Droughts
image
Typhoons
image
Climate Disclosure and Risk for Asian Companies
image
Climate Risk Awareness and Disclosure in Asia
image
Impact of Climate Risk Factors on China A-Shares Valuations

Our Investors And Sponsors

image
image
image
image