As the climate changes, so must the way we model physical risk. Ötzi's AI simulator translates global climate models into highly accurate, forward-looking physical risk estimates for the near to mid-term — so you can anticipate losses, allocate capital wisely, and manage risk proactively.
The Challenge
Traditional catastrophe models are calibrated on historical loss catalogs. As climate patterns shift, the past becomes an increasingly unreliable guide to future risk — leaving insurers and investors exposed. Global climate models offer our best scientific view of how conditions may evolve, yet their raw outputs are not designed for direct use in physical risk or catastrophe tools. Without forward-looking intelligence, financial institutions react only after losses occur: premiums rise, coverage retreats, and insurance gaps widen — precisely when resilience is most needed.
Our Approach
We correct the systematic biases of global climate models, improve their spatial resolution, and translate their outputs into decision-grade physical risk estimates — for near- to mid-term horizons of +1 year and beyond.
Who We Serve
Update catastrophe models with forward-looking climate signals. Price risk accurately, manage accumulations, and maintain affordability where it matters most.
Integrate physical risk into credit assessments, portfolio stress-testing, and regulatory capital allocation. Forward-looking estimates help banks, asset managers, pension funds, and insurers meet disclosure requirements with transparent, audit-ready assumptions.
Understand physical exposure across operations, supply chains, and owned assets. Act early on site-level climate risks, meet evolving TCFD and CSRD disclosure requirements, and build resilience into long-term planning.