Tellius is an AI-powered decision intelligence platform that lets users ask questions of their data and automatically surfaces why metrics change.
Tellius combines natural-language querying with automated insights. Users type questions to get visual answers instantly, while its engine runs billions of computations behind the scenes to explain drivers of change — which segments moved a metric and why. The platform ingests data from warehouses and lakes, supports guided analysis workflows, and now adds generative AI for narrative summaries of findings. It aims to shorten the loop between a business question and a defensible answer.
The difference from dashboards is explanation: when a metric moves, the platform names the segments and drivers behind it. Business users type questions conversationally, and analysts keep governance over the data underneath.
Connecting warehouses is the first step; semantic layers then define what metrics mean so answers stay consistent across questions. Adoption grows as saved searches and narratives become shared references in reviews, replacing static slide decks with live, drillable explanations.
Deployment starts with data connections and a semantic layer, then extends into embedded experiences for business teams. Because the platform explains drivers rather than only charting them, it earns a place in executive reviews where the question is always why, not just what.
Once connected, the semantic layer keeps metric definitions consistent across questions, which prevents the answer drift that erodes trust in analytics. Teams typically embed the narratives in executive reviews, where explanations beat static charts.
Tellius is sold through enterprise agreements; pricing is scoped to data volume, users, and deployment model.
Analytics and business teams in data-rich industries that need to move from dashboards to explanations. It fits analytics teams moving from reporting to decision intelligence.