
Provides climate risk analytics using cloud computing and AI to model extreme weather risks for asset planning.
Specializes in physical climate risk analysis for infrastructure and investment, providing detailed hazard data.

Climate X
United Kingdom · Startup
Provides financial insights into climate risks, calculating the impact of extreme weather on asset valuations.
Uses satellite data and AI to create climate risk models for financial institutions and supply chains.
Spun out of Cambridge University, providing a platform for companies to assess climate transition and physical risks.
Uses AI and high-precision terrain data to model flood paths and stormwater runoff for infrastructure planning.
Canada · Startup
AI-powered platform helping organizations identify climate risks and opportunities and align with disclosure standards.
United States · Open Source
A Linux Foundation project building open source data and software platforms for climate-aligned finance.
United States · Startup
Provides climate risk insurance and technology to manage financial volatility caused by extreme weather.
Financial data giant that acquired Carbon Delta to offer extensive climate value-at-risk tools.
Financial institutions increasingly need to quantify how floods, heatwaves, wildfires, carbon pricing, and technology shifts affect asset values. Climate risk engines blend physical hazard maps with transition scenarios, macroeconomic pathways, and company-level emissions data to produce credit spreads, value-at-risk metrics, and stress tests. They plug into portfolio management systems, loan underwriting, and insurance pricing, allowing banks to see which mortgages might become stranded by rising seas or which corporate borrowers face carbon-tax exposure.
Major players—Moody’s, MSCI, Jupiter Intelligence, Ortec Finance, Cervest—as well as open-source projects integrate satellite data, regulator-approved scenarios (NGFS, IEA), and forward-looking indicators like patent filings or policy signals. Sovereign funds assess how drought could hit agricultural GDP, while corporate treasurers use the tools to prioritize resilience capex. Investors use the outputs to structure sustainability-linked loans, catastrophe bonds, and blended-finance vehicles targeting adaptation.
These engines are TRL 5: models must be transparent enough for auditors and regulators, and data gaps in emerging markets remain. With TCFD, ISSB, CSRD, and upcoming SEC rules requiring climate risk disclosure, demand is surging. Vendors are adding explainability layers, audit trails, and integration with existing risk data warehouses. Ultimately, climate-aware analytics will be as routine as credit scoring, steering capital toward resilient, low-carbon infrastructure.