Gamechangers 2026: Climate Risk is a special publication by The Institute for Insurance Innovation highlighting insurtechs, startups, and technology leaders redefining how insurers assess, price, and mitigate climate risk.
The Institute for Insurance Innovation is an independent organisation advancing sustainable transformation within the insurance sector, supporting adaptation to emerging technological and systemic risks through curated research and executive publications.
Mitiga Solutions has been selected for this year’s Climate Risk edition in recognition of its contribution to science-based climate risk modelling for underwriting, portfolio management, and long-term resilience planning.
What the recognition reflects
The publication highlights organisations advancing climate risk assessment across the insurance sector.
Mitiga was recognised for its physics-based, probabilistic modelling framework, built on more than two decades of climate research and high-performance computing expertise. The company develops asset-level models across multiple hazards and IPCC-aligned scenarios.
These models support stress testing, underwriting, portfolio risk management, and regulatory reporting, covering both frequent events and low-probability, high-impact risks.
What’s next
As climate risk becomes increasingly systemic, the focus is shifting from analysis to applied resilience.
Mitiga is expanding its work with financial institutions and corporates to translate climate risk insights into structured action, from reporting baselines to prioritised adaptation roadmaps aligned with frameworks such as TCFD, embedding resilience into core financial and operational decisions.
With support from the European Innovation Council (EIC) Accelerator, Mitiga is also scaling a pilot initiative focused on climate-risk intelligence for energy infrastructure, developed in partnership with a leading renewable energy operator.
As insurers, financial institutions, and infrastructure operators navigate a more complex risk landscape, collaboration and science-based modelling will be essential to strengthening long-term resilience.
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