JWLA.ai

JWLA.ai — Machine- readable war-risk geography with time-in-zone exposure analytics. Two layers. (1) A structured geospatial encoding of the war-risk and trade-union risk maps that insurers actually underwrite against: the Joint War Committee (LMA/IUA) Listed Areas as a versioned circular series (the current JWLA-035 dated 16 September 2026, with the superseded JWLA-034 of 29 July 2026 retained), where every zone carries an amendment status label (amended vs unchanged in the current circular); plus International Transport Workers' Federation and International Bunders' Federation risk areas ty…

JWLA.ai offers (Alternative, Geospatial, Reference, Supply Chain) — Small and dense. The geographic layer is a few dozen polygons across three taxonomies (6 JWC water zones, 8 IBF/ITF areas, 13 IWL limits, ~23 listed countries), re-issued as a dated circular roughly every 6-8 weeks with amendment status per zone — so the boundary history is a compact versioned series of order hundreds of zone-states over time, not bulk data. The exposure layer scales with fleet size and dwell: for a fleet of 50 vessels with position polling, entry/exit events plus dwell accumulations produce on the order of 10^4-10^5 vessel-zone observations a year. Total asset is megabytes, and its value is in the versioning and the join, not in volume..

Hull war and P&I war-risk extension pricing and portfolio aggregation — an insurer can compute aggregate tonnage and sum insured sitting inside listed areas on any date, which today is largely a manual exercise; premium-attribution and audit (proving a vessel was or was not inside a listed area during a transit, with a dated record); charterparty and contract-of-carriage compliance where war-risk cancellation or trading-limit clauses are triggered by zone entry; crew bonus and hazard-pay determination against IBF/ITF area definitions, which are a contractual trigger with real money attached; retroactive claims adjudication for a loss alleged to have occurred inside a listed area; treasury and reinsurance reporting on war-risk accumulation through a single event window (Hormuz, Red Sea, Black Sea, Gulf of Guinea); and for a quantitative buyer, the versioned boundary history as an event series — a JWC amendment is an exogenous, dated, precisely geolocated shock to insurance cost that is ideal for event studies on tanker equities and freight. The exposure log is also a rare ground-truth set for training models that predict war-risk premium moves from geography plus news.