Agentic Analytics

From Natural Language to Data Insights

Agentic Analytics is your AI-powered analytics engine: an intuitive, governed platform where teams ask questions, generate dynamic charts, and discover insights, all grounded in your data.
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How does ThoughtSpot provide Agentic Analytics?

A unified suite of BI agents automate and connect key stages throughout the analytics workflow, from data modeling to creating visualizations to writing code.
Agents

Spotter: AI Analyst

Our AI Agent that delivers agentic data experiences with enterprise-grade trust and scale. Spotter uses AI to perform a full range of skills - from answering business questions, to data literacy questions, to deep analysis and reasoning - empowering teams to make data-driven decisions.
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Dashboards

SpotterModel

SpotterModel is ThoughtSpot’s AI data modeling agent that transforms raw database connections into governed, AI-ready semantic models. It automatically maps data relationships, dimensions, and measures with human-in-the-loop validation, allowing data teams to go from raw warehouse data to a fully modeled data source ready for analysis in minutes.
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Spotter Model

SpotterViz

SpotterViz turns business questions into governed, decision-ready liveboards and visualizations in minutes. Using natural language prompts, SpotterViz automatically selects chart types, designs smart layouts, and builds interactive Liveboards consistent with the visual standards across your enterprise.
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Trust Center

SpotterCode

For developers, ThoughtSpot accelerates data engineering and platform customization. By converting natural language into clean, executable code, SpotterCode automates complex transformations, script writing, and custom integrations so technical teams can build and extend data applications with ThoughtSpot at scale.
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AI Assit

AI Assist in Analyst Studio

AI Assist uses AI to help you easily write and revise SQL code based on user-provided natural language query requests.
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AI You Can Trust

1. Agents grounded in your data

ThoughtSpot’s patented search token architecture bridges natural language and your enterprise data. Whether Spotter is answering a business question, SpotterModel is generating semantic data models, SpotterViz is assembling Liveboards, SpotterCode is writing embedding code, or AgentSpot is extending capabilities via the ThoughtSpot MCP Server, ThoughtSpot's agents are grounded on your governed data schema.

2. Verifiable, transparent, and explainable

With the ThoughtSpot Agentic Analytics platform, search tokens, generated SQL, API payloads, and analytical logic are exposed at every step so users can inspect, validate, and audit agent outputs before decisions are made or code is deployed.

3. Customer governance across the agentic platform

You maintain control over how ThoughtSpot's AI agents operate. You control feature deployment, define column-level and row-level access permissions, and manage agent execution rights across your analytics environment. AI acts as an extension of your teams under the guardrails you define.

4. Zero data persistence and total privacy

Your enterprise data is never used to train external models or retained by third parties. Provider LLMs do not store prompts or generated responses, ensuring your business logic, proprietary metrics, and customer data remain strictly isolated and private.

5. Multi-model infrastructure powered by enterprise LLMs

ThoughtSpot orchestrates multiple industry-leading foundational models alongside proprietary search token logic and statistical engines to ensure high accuracy without model lock-in. Providers used include:

  • Microsoft Foundry (GPT LLMs)
  • Google Gemini Enterprise Agent Platform (Gemini & Anthropic Claude)
  • Snowflake Cortex AI (Anthropic Claude)
  • Statistical Forecasting Models & Public Analytics Libraries