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Introducing Earthian AI's NatCat Lighthouse-0: The world's first natural catastrophe risk inference small language model (SLM), enabling insurers, reinsurers, and asset managers to assess and price natural catastrophe risks with unprecedented precision.
Natural catastrophes have become increasingly frequent and severe, causing trillions in economic losses. Traditional models rely on historical data and static assumptions that fail to capture climate change impacts and changing exposure patterns.
NatCat Lighthouse-0 is a purpose-built natural catastrophe risk SLM designed to assess, interpret, and explain NatCat risk across assets, portfolios, and geographic regions.
NatCat Lighthouse models are trained on historical catastrophe events, climate projections, geospatial data, infrastructure networks, insurance claims, scientific publications, and real-time sensor data.
Unlike traditional catastrophe modeling platforms, NatCat Lighthouse applies high-precision reasoning and inference to price natural catastrophe risk directly into capital â with the potential to improve loss prediction accuracy by up to 40%.
Insurance
âEarthian AI addresses a real market gap: continuous, asset-level perception of climate and geopolitical risk in compliance-bound environments requires accuracy, explainability, and timeliness to be solved together, not traded off.â
Product Manager
Europe's Largest Insurer ¡ EU
Risk Consultancy
âThe most relevant aspect is the ambition to transform fragmented upstream signals into one auditable decision object that can be reviewed, challenged and documented within institutional workflows.â
Insurance Partner
Tier-1 Big Four Consultancy ¡ UK