Industrial infrastructure increasingly depends on algorithmic decision systems. The limiting factor is not computational capability but semantic input consistency. SCY:MO proposes a structured component ontology as a foundational layer for simulation, optimization and AI-native engineering environments.
Component specifications are transformed from document-based descriptions into stable datasets. Canonical units, numeric performance curves and consistent parameter semantics enable cross-manufacturer comparability and reduce interpretative engineering risk.
Once component data becomes machine-native, engineering workflows shift from interpretation to synthesis. Simulation models can be constructed as composable physical logic rather than manually curated document abstractions.
SCY:MO is currently in conceptual formation. Collaboration interest from engineers, data architects and industrial system researchers is welcome.