Also called: business digital twin, knowledge graph
A digital twin is a structured, provenance-tracked model of a business and its market — every fact carrying its source and its time — used to ground honest measurement and reliable AI-assisted recommendations.
In GeoMagics, a digital twin is a living, structured model of a business and the sector it competes in: its identity, its products, its measured signals, and how those change over time. Every fact in the twin carries its provenance (where it came from) and its time (when it was true), so the model is auditable rather than a black box.
The twin is what makes measurement and recommendation trustworthy. When the system reports a number or proposes a fix, it can point to the underlying facts and their sources, and it never asserts something it cannot ground. This is the opposite of a chatbot improvising plausible-sounding claims.
Because it is bitemporal — tracking both when a fact was true in the world and when the system learned it — the twin can reconstruct what was known at any past moment, which is essential for honestly attributing whether a change actually moved the numbers.