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An asset-level war-risk pricing and outcome dataset built as a byproduct of underwriting: 1,000+ assets quoted and 100+ assets insured for war/political-violence cover in Ukraine (roughly USD 2.5B of quotes and a USD 4B pipeline), each quote carrying asset type, sector, geolocated value, proximity-to-front-line distance, premium rate and structural layer, with the declined/quoted/bound outcome recorded (~one third of requests rejected). Supporting layers: an AI risk model trained on the Ukrainian government projectile/strike database plus open-source conflict data, live strike monitoring, cargo war-risk shipment pricing (up to USD 50M per international shipment / USD 10M inland), and an insured-asset book that constitutes realised loss experience in an active conflict.
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