riskthinking.AI Information

Your climate risk model gives you an average. The losses that break a balance sheet never arrive as averages. A 1-in-100-year flood. A heatwave on top of a drought. A port that floods the same week the grid goes down. Most climate models smooth these into a single median scenario. That is like running a bond book on expected return and ignoring default. RiskThinking.AI was built to measure the tail. Our founder, Dr. Ron Dembo, built Algorithmics, the risk system used by the world's largest banks (acquired by IBM). He started RiskThinking.AI because climate risk was still being measured with a single guess about the future. The Climate Digital Twin runs 2,500 climate futures at once. For any asset it tells you how bad it can get, how often, and under what conditions. It captures what happens when hazards hit together, not one at a time. The coverage: 50+ hazards. 193 countries. Every IPCC emissions scenario, out to 2100. Seven million physical assets, linked to 14,000 companies and their 80,000 subsidiaries. Banks, insurers, corporates and governments use it to turn physical hazard into the numbers they answer for: credit quality, capital and stress tests. Products: VELO App, VELO Data, CDTexpress. We work with Google, AWS, Bloomberg, AON, EDC, SS&C, TMX, EDC, GARP and OSFI. We also founded the Climate Risk Commons, a not-for-profit open standard that gives researchers free, non-commercial access to the same engine. North America and Europe. Clients worldwide. Get in touch at support@riskthinking.ai