Climate risk is increasing—but for most people, it remains poorly measured, poorly priced, and hard to manage. Small businesses, households, and local investors increasingly bear the cost of extreme weather, yet lack access to tools that are transparent, timely, and fair. ClimateSnap was built to change that. We use ground- and satellite-based data, high-resolution climate models, and simple parametric structures to turn complex climate risk into clear, actionable financial protection and investment opportunities. Our goal is to make climate risk understandable, investable, and resilient—without hidden fine print or slow payment processes.
Weather risk is a fundamentally different asset class. Returns are not affected by stock markets, bond yields, crypto, or even inflation. That makes it one of the few truly uncorrelated sources of yield available today. ClimateSnap lets you access it with ease. Every contract helps mitigate the growing financial costs of climate uncertainty — whether it's a farmer, tourist, household, business, or region exposed to extreme climate risks. Your capital provides protection where it's needed most. This is investing with both high social and private returns. There’s no need to read the news, study charts, or time the market. Once you provide capital, the ClimateSnap platform automatically allocates it across weather contracts. You earn passively while the platform manages risk and execution behind the scenes. Future platform options may include functionality for active management and choices to allow for sophisticated investors.
David is Co-Founder and CEO and of ClimateSnap Inc., bringing more than three decades of experience at the intersection of economics, financial markets, and climate risk. Most recently, David served as a Lead Economist at the World Bank, where he led large, multi-disciplinary teams across Latin America, South Asia, Europe and Central Asia, and the Pacific. His work included flagship country and regional analyses on climate vulnerability, economic resilience, and risk management—most recently for climate-exposed small island and atoll economies. Earlier in his career, David was Director of Global Economic Analysis at the Institute of International Finance, advising leading global financial institutions on country risk, capital flows, and financial stability, and Senior Economist at the Federal Reserve, where he briefed senior policymakers and conducted research on trade, macroeconomic shocks, and financial integration. Across these roles, David saw an emerging structural problem: climate risk was growing faster than the financial tools available to manage it. Protection was slow, opaque, and inaccessible—especially for smaller actors who needed it most. ClimateSnap was founded to close that gap —using transparent data, satellite- and ground-based measurement, and simple parametric structures to turn climate risk into something people can understand, manage, and invest in. David holds a Ph.D. in Economics from UCLA and is a Chartered Financial Analyst (CFA). He has published extensively in leading academic journals on international finance, connectivity, and economic risk. At ClimateSnap, he applies this experience to build practical, transparent, data-driven climate-risk solutions designed for real-world use—not just institutional balance sheets.
Georgi Panterov is Co-Founder and Chief Technology Officer of ClimateSnap Inc., where he leads the technical architecture behind data-driven, contract-based climate risk products. He is responsible for platform design, engineering strategy, and the backend systems that enable transparent, automated payouts tied to objective weather thresholds—eliminating traditional insurance claims processes. Georgi brings a rare combination of quantitative economics, numerical weather modeling, and real-world platform building. Prior to ClimateSnap, he served as a Research Economist at the World Bank, where he developed advanced computational and econometric models for macroeconomic and financial development research across Europe and Central Asia. His work included large-scale overlapping-generations models, network-based connectivity analysis, and early experimentation with blockchain-based tools for hedging climate risk. In parallel with his research career, Georgi has built and scaled multiple technology-enabled businesses. He is the Founder and CEO of Broadway Pass, a group of ticketing and quantitative brokerage companies serving Broadway theaters, major venues, and concert producers, generating over $10 million in annual sales. He also co-founded Probifi, a decentralized finance startup developing non-custodial market-making and liquidity infrastructure for digital asset markets. Georgi holds advanced graduate training in economics from American University (PhD candidate, ABD), with specialization in econometrics and monetary economics. Across academia, finance, and entrepreneurship, his work consistently focuses on making complex risk measurable, transparent, and actionable —a philosophy that sits at the core of ClimateSnap’s mission.
Dylan J. Major is Lead Meteorologist at ClimateSnap Inc., bringing deep expertise in weather science, applied mathematics, and data-driven forecasting. He is a Ph.D. student and Flagship Fellow at the University of Maryland, where his research focuses on advanced data assimilation methods for high-resolution numerical weather prediction, including non-linear and non-Gaussian systems. Dylan has conducted research across precipitation measurement, satellite remote sensing, and air-quality monitoring, and is the first author of a peer-reviewed study accepted by the American Meteorological Society. He has presented extensively at major professional conferences, including the American Geophysical Union and the American Meteorological Society. He holds an Honors B.S. from UNC Asheville with majors in Atmospheric Sciences, Computer Science, and Applied Mathematics, and is a recipient of multiple national scholarships and forecasting awards. At ClimateSnap, Dylan applies cutting-edge atmospheric science to ensure weather risk is measured accurately, transparently, and at the local scale where it matters most.
