See Your Exposure.
Price Your Risk. Improve Your Resilience.
High-resolution & forward-looking
Jupiter’s high-resolution, forward-looking risk analysis from dynamic Earth System models, combined with dynamical and data-driven downscaling techniques, produce hyper-local hazard estimates based on projected changes in climate.
Our products were created by global experts in climate and Earth science, data science, technology, risk management, business (with extensive experience in Fortune 100 companies), government, and academia.
Jupiter’s transparent methodologies employ dozens of the scientific community’s most respected physical models of the atmosphere and hydrosphere coupled with machine learning, land use, elevation data, and extensive observations of the systems we model.
Robust verification and validation
We build robust verification and validation into every step of the model chain, and our methods natively account for the changing frequencies and characteristics of extreme events in time.
ClimateScore Intelligence Platform
Transparency & robust validation and verification
Jupiter’s Report Cards and Confidence Scores summarize verification processes and communicate confidence levels. These Report Cards and Scores employ both visual and automated checks that integrate scientific judgment from the company’s global scientific experts, both internally and externally, and quantitative accuracy metrics. Hierarchical verification tests, from simple to complex, produce confidence indicators that in turn are evaluated against acceptance criteria and summarized in the Report Cards.
Peer-reviewed climate models used in novel ways
Jupiter’s proprietary deployment and modeling layers account for the complex dynamics of climate change impacts to provide hyper-local weather and climate-based risk analyses and probabilistic predictions from one hour to more than 50 years in the future.
AI and machine learning
Jupiter incorporates AI and machine learning to automatically and continually improve its dynamic models, reduce local biases of scientific simulations, and accelerate information delivery. The company carefully integrates AI while preserving explainability, especially for regulatory compliance.
Flexible user interface
Risk analytics are available as web-based applications, reports, through an API, or via consulting engagements.