By RiskThinking Team
Most physical climate risk analytics answer one question. What is exposed?
That question matters. It is also the easy half. The harder half is what to do about it: which assets to hold, which to reprice, where to spend on adaptation, and when.
Chartis Research separates the two. In its Physical and Infrastructure Risk50 2027, published on 9 November 2026, Chartis named RiskThinking.AI the category winner for PIRA Modeling – Business Strategy Analytics.
Chartis splits physical risk modelling into five award categories: business strategy, financial impact, government services, mortgage analytics and underwriting.
Four of those measure risk inside a process that already exists. A mortgage book. An underwriting decision. A financial impact estimate. A public service.
Business strategy analytics asks a different question. Not how much risk sits on the balance sheet, but which decisions change it.
That is the question we built our platform to answer. Our frameworks, Climate Change Value at Risk (CC-VaR) and Climate Capital Option Theory (CCOT), treat climate risk as a capital allocation problem rather than a reporting exercise.
RiskThinking.AI also ranked 7th of 50 overall, up from 8th in the previous ranking. Our overall score was 73.39. Our strongest component score was Impact, at 78.00.
We are the only Canadian firm in the top ten. The others are headquartered in the United States, Germany and Switzerland, and include Moody's, Munich Re, Swiss Re and S&P Global Market Intelligence.
Exposure data is becoming a commodity. Most large institutions can now buy a map of where their assets sit relative to flood, heat and wind.
The institutions that will be fine are not the ones with the most precise map. They are the ones that know what to do with it.
Read the full Chartis ranking and list of category winners here.