ThoughtSpot Debuts Line Of BI Agents To Automate Analytical Workflows
The new suite of Spotter agents helps free up data engineers, data analysts and application developers by automating manual data modeling, dashboard creation and software development chores.
ThoughtSpot has launched a suite of new business intelligence agents that the analytics platform provider says are designed to assist data teams as they develop data analytics workflows.
The new specialized agents, part of the ThoughtSpot’s Spotter AI-powered analyst tool, provide assistance to automate and connect each stage of the data analytics process, including data preparation and modeling, writing code and creating data visualizations.
ThoughtSpot, headquartered in Mountain View, Calif., this week also unveiled Spotter 3, an update to the platform’s core intelligence engine, with the ability to combine structured and unstructured data and other new capabilities.
[Related: ThoughtSpot Sees Its ‘Spotter’ AI Agent Technology As The Future Of Data Analytics]
Spotter, introduced in November 2024, leverages AI to bring the analytical capabilities of a skilled data analyst to everyday business users. Spotter and the new agents run on ThoughtSpot’s foundational Agentic Analytics Platform.
“We launched Spotter about a year ago, and this is a great way to enable anybody to ask questions about their data. But there are other people in the analytical flow” who can use assistance, said Francois Lopitaux, ThoughtSpot senior vice president of product management, noting in an interview with CRN the roles of data analysts, data engineers and developers.
“We wanted to deliver in our platform an agent for every person, because everybody deserves to have an [AI] companion,” Lopitaux said. “Now we have the full agentic solutions where for every persona their companion—their agents—do the work on their behalf.”
The new AI agents, SpotterViz, SpotterModel and SpotterCode, are designed to automate and connect each stage of analytics workflows, from data modeling, to creating data visualizations such as dashboards and charts, and writing code to embed Spotter and its capabilities into other applications.
The Three Agents
SpotterViz is a “liveboard” agent that uses natural language to automate the time-consuming chores of dashboard creation, layout, organization, styling and publishing. That means data analysts spend less time on dashboard development tasks and more time interpreting data and acting on analytical insights, according to ThoughtSpot.
SpotterModel is a data modeling agent that helps data engineers build reusable semantic models using natural language prompts. The agent automates foundational tasks around data model creation and maintenance and can select data tables and generate data schema and joins that align with business logic, according to ThoughtSpot. SpotterModel has native integrations into Snowflake, Databricks and dbt Labs.
SpotterCode accelerates the development of embedded analytics, embedding intelligence into applications using ThoughtSpot Embedded. SpotterCode uses AI-assisted code generation for popular IDEs (integrated development environments) such as Cursor, Claude Code, Github Copilot and Microsoft VSCode.
SpotterCode understands the context of a developer’s project, according to the company, and can generate best-in-class code to embed ThoughtSpot using recommended implementation approaches and leveraging the full potential of ThoughtSpot’s software development kit.
Spotter 3, the latest release of the core intelligence engine, now has the ability to blend structured and unstructured data. This allows analysts to go beyond traditional data sources and connect with unstructured data in a broader range of applications like Slack and Salesforce, according to ThoughtSpot.
Spotter 3 also has the ability to answer a question, assess the quality of its own answer, and automatically run additional analyses until it arrives at the most accurate result, the company said.
“With our team of agents, we are delivering the industry’s first unified platform that augments every role—analysts, data engineers, developers, and business users—with an intelligent agent that handles the manual work,” Lopitaux said. “It is the foundational element towards the autonomous enterprise, turning intelligence into an engine that continuously drives business forward and delivers ROI on your AI investments.”
ThoughtSpot partners with a broad range of solution providers, ISVs and system integrators and Lopitaux said they will benefit from the new agentic offerings. System integrators can leverage the new agentic tools to develop analytical applications for clients more quickly than before, he said, while ISV partners can use the agents to build more complex solutions. And Spotter 3’s ability to access unstructured data allows those applications to interact with a greater range of systems.
Spotter 3 and SpotterCode are now generally available with SpotterViz and SpotterModel being rolled out over the next few months.