Overview ThoughtSpot is the search first analytics platform that has spent a decade trying to convince the business intelligence world that the right interface for data is a search bar, not a dashboard grid. Founded in 2012 by ex Google engineers who watched what natural language search did to information retrieval, ThoughtSpot bet early that the same paradigm would eventually eat traditional BI — and by 2026, with the maturity of large language models fully integrated into the product via Sage and Spotter, that bet is closer to paying off than at any point in the platform's history. At the center of ThoughtSpot is a semantic layer called a Worksheet: a governed model of your data — measures, attributes, joins, hierarchies — that sits on top of a cloud warehouse (Snowflake, BigQuery, Databricks, Redshift, or Synapse). Once the Worksheet is defined, business users interact with the data by typing English questions into a search bar: "top 10 customers by revenue in EMEA last quarter," "churn rate by cohort, monthly, since 2024," "why did DAU drop yesterday." The AI layer parses the question, generates the SQL, executes against the warehouse, and returns a visualization along with an AI written summary of what the data shows. The one line positioning: ThoughtSpot is the tool you buy when you want business users to answer their own data questions without opening Excel, and you have a modern cloud warehouse to point it at. It is the BI product built for the post dashboard era…