Jupiter Intelligence Debuts New Tools Empowering Banks and Investors to Measure Climate-Related Financial Risks
Jupiter Intelligence, a leading provider of climate risk analytics, has announced significant upgrades to its ClimateScore Global platform. The platform, launched in 2020, is designed to help financial institutions understand and respond to physical climate risks.
The enhancements include four major new features aimed at improving how institutional investors and financial institutions quantify physical climate risk and calculate the ROI on resilience investments.
- Jupiter Adaptation Hub: This new workflow quantifies avoided losses and calculates ROI across more than 10 adaptation strategies. It enables institutions to move beyond awareness of climate risk to taking informed action using defensible data on costs, effectiveness, and returns of climate adaptation investments.
- Jupiter Entity Modeling: This capability expands climate risk insights to a broad array of entities including securities, funds, corporations, and investment vehicles. This provides institutions with competitive visibility and strategic advantages by assessing risk at entity and portfolio levels.
- Jupiter MetricEngine: Offering dynamic, scenario-specific model outputs such as custom return periods, exceedance probabilities, daily threshold event counts, and loss distributions, Jupiter MetricEngine supports advanced analyses like simulating synthetic weather years for crop modeling or assessing regional drought and precipitation changes.
- Subsidence Peril Metric: A new metric and damage model, the Subsidence Peril Metric focuses on structural risk from soil-moisture changes in clay-rich soils. It estimates average annual damage related to foundation types and construction materials, addressing a key physical climate hazard not traditionally modeled.
These upgrades collectively establish a new standard in investment-grade climate analytics, shifting the platform from risk identification to enabling climate-informed capital decisions with precision and defensibility required by investment committees, regulators, and boards. The platform also integrates artificial intelligence (Jupiter AI™) to accelerate insights and supports financial institutions’ model risk management validation processes.
The Subsidence Peril Metric is just one of the new tools included in the ClimateScore platform. Financial institutions and institutional investors are increasingly needing to quantify climate risk and model their response strategies due to the acceleration and intensification of damage and financial impact caused by severe weather events around the world.
Rich Sorkin, co-founder and CEO of Jupiter Intelligence, stated that these platform advances are crucial for customers to lead their sectors in climate-informed decision-making. The new tools include the Jupiter Adaptation Hub, which enables the quantification of avoided losses and calculation of ROI across a series of adaptation strategies, and the Jupiter MetricEngine, which offers custom return periods, exceedance probabilities, daily threshold counts, and loss distributions to quant teams and risk officers.
These new capabilities are designed to meet the growing need for tools that enable climate-informed decision-making. By providing institutions with the ability to assess and quantify climate risk across their portfolios, Jupiter Intelligence is helping financial institutions navigate the complexities of physical climate risk and make informed decisions for a more resilient future.
- The Jupiter Adaptation Hub, a new workflow within the ClimateScore Global platform, quantifies avoided losses and calculates ROI across more than 10 adaptation strategies, enabling institutions to make informed climate-sensitive decisions using defensible data.
- The ClimateScore Global platform, after significant upgrades, now integrates artificial intelligence (Jupiter AI™) to accelerate insights and supports model risk management validation processes, making it a standard in investment-grade climate analytics.
- Jupiter MetricEngine, another new capability, offers dynamic, scenario-specific model outputs and supports advanced analyses, such as simulating synthetic weather years for crop modeling or assessing regional drought and precipitation changes, contributing to climate-informed decision-making in the financial sector.
