Celest Science is proud to announce the closing of a €2 million seed round ! Discover more
Anticipating climate risk & Empowering adaptation
Sub-seasonal to seasonal predictions and Physical risk assessment
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total direct economic costs caused by global climate events in 2024
increase in direct global economic losses due to extreme climate events has been recorded over the past 20 years
increase in climate-related economic risk could be observed by 2050
Traditional risk-assessment methods are no longer relevant
Our work leverages the latest advances in deep learning, generative models, and physics-informed AI to bridge the gap between weather forecasting and long-term climate simulation, to push the boundaries of predictability and enable real-world applications.
More performant than existing solutions
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A methodology built on decades of scientific research
Dynamic view of the risk
Taking into account ongoing climate trends, historical data and current conditions to provide optimal seasonal and decadal predictions
Leveraging Science and AI
Using a combination of physics and machine learning targeting all components of the earth system: atmosphere, ocean, land, cryosphere to provide optimal probabilistic forecasts
Probabilistic approach
Providing a comprehensive view of possible outcomes and a better estimation of extreme event occurrences to enhances decision-making
Predictions tailored to all types of clients
Our predictions can be applied across an unlimited range of contexts. We have chosen to focus on the insurance, energy, and agribusiness industries.
Insurance
Diagnose the vulnerability of your assets to climate change
Energy
Estimate demand and production trends while projecting energy prices to support strategic decision-making
Agribusiness
Anticipate extreme weather events and adapt production
Be part of this purposeful journey
We are looking for talented individuals who want to leverage their skills to make a real difference in the fight against climate change.
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