
Semantic Contextualization
Semantic contextualization means embedding business definitions, hierarchies, KPIs, and relationships into the analytics layer so AI systems interpret questions correctly and return trusted results. In Tellius, this is powered by its smart semantic layer and insight graph, which tune AI agents to the customer’s data domain.
Without context, AI answers can be wrong or misleading. Semantic contextualization ensures relevance, accuracy, and trust.