A digital twin is a virtual model of a real-world system, asset, or process that mirrors live data to enable monitoring, simulation, and predictive analysis. Timbr powers AI-driven digital twins by representing machines, sensors, processes, and assets as relationally connected SQL ontologies, unifying operational and business data without ETL or duplication. The result is a governed, queryable semantic model that feeds BI tools, AI pipelines, and real-time dashboards from a single source.