ThoughtSpot

ThoughtSpot is a cloud business intelligence platform where Spotter AI agents build data models, dashboards and answers from warehouse data for enterprises.

ThoughtSpot lets business users type a question about company data and get a chart back, without writing SQL or filing a report request. It queries cloud data warehouses such as Snowflake, Databricks, Redshift and BigQuery live, instead of importing an extract first. ThoughtSpot Inc., an independent company in Mountain View, California, builds it and runs it as a cloud service. Search over data in plain language has been at the core of the product from the beginning, and AI agents now carry it into the rest of the analytics job. Spotter is the conversational analytics agent, and its answers can be drilled into and cross-filtered without a predefined drill path. SpotterModel turns prompts into governed data models with review built in. SpotterViz builds dashboards, and SpotterCode is the coding agent. Dashboards are called Liveboards and can be built by drag and drop, described to the agents or coded in Charts Studio. A Liveboard runs as a slideshow or exports to PDF, Google Slides, PowerPoint or Excel. Measures and joins sit in one semantic layer with governed metrics, row-level and column-level security, and version control through TML. Analyst Studio adds data preparation, SQL, R and Python analysis, and an in-memory cache. ThoughtSpot suits enterprises that already keep their data in a cloud warehouse and want business teams to answer their own questions. Data teams use it to define metrics once and let everyone else explore them under the same security rules. Growing businesses that need quick decisions, without building a reporting team first, are the other group it is made for. Companies that sell software use ThoughtSpot Embedded to give their own customers analytics inside their product. Much of the work happens away from the dashboard itself. Liveboards go out by email or Slack on a cadence, with conditions so a delivery only sends when the data warrants it. Automated KPI monitoring flags anomalies and delivers the alert to Slack, Teams or email. Custom actions then create a CRM record or push a workflow into Salesforce, ServiceNow or Google Sheets, so a finding turns into a task in the system where the team already works. Native apps for iOS and Android keep the same Liveboards on a phone for people away from their desks.