The SoulGCI stack was built and proven on Earth-scale data: geo-meteorological series, satellite observation, soil and climate models, crop phenology, and yield risk under real constraints. Those models run today in production systems — land-intelligence scoring live at terrascore.eu and a governed credit-risk workspace for agricultural lending on the Agro Capital Standard platform.
That work produced two disciplines at once. A data discipline: how a closed system of weather, soil, water, and biology behaves, and how to model its risks. And a governance discipline: how an autonomous system acts under human authority, proves every decision cryptographically, and fails closed when governance cannot be satisfied.
Lunar and Martian programs now in active preparation worldwide will run on closed infrastructure by definition. A greenhouse on the Moon is an agronomy problem with harder physics. A med-bay in transit to Mars is field medicine with a longer bridge to the physician. The constraints get harder; the class of problem does not change. That is why the same governed core applies.