More than half the world's land has no weather radar, leaving communities without the disaster warnings that radar-covered regions take for granted. RAiN4CAST AI delivers radar-grade rainfall information to national weather and disaster agencies, infrastructure operators and residents without building ground infrastructure. It harmonizes data from five public geostationary satellites. A generative model trained on radar then produces rainfall intensity and distribution at 1.2 mile (2 km) resolution, about 30 times finer in area than existing satellite rainfall products. Those products report where rain has fallen; RAiN4CAST AI forecasts where it will fall, when and how dangerous it may become. At commercial launch in March 2027, it will forecast zero to three hours ahead with 10-minute updates and convert rainfall into Safe, Caution and Critical risk grades. The same intelligence reaches control-room dashboards, agency systems through an API, and residents through mobile web and a five-language chat assistant.