Spotter, SpotterModel, SpotterViz, and SpotterCode
Spotter 3 is our smartest agent yet. It acts as a true analytical partner that thinks, reasons, and validates its work—all automatically. It blends structured and unstructured data to go beyond traditional data sources, providing a complete picture of the business. With new skills, like Python coding and forecasting, Spotter 3 acts as your AI data scientist. Spotter 3 ensures every question leads naturally to confident, data-backed action.

Building data models requires SQL expertise and institutional knowledge. Use natural language instead. Describe what you're building and SpotterModel understands your data instantly by mapping relationships, dimensions, and measures in minutes. Your team reviews and deploys, clearing backlogs without adding headcount.
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Move from question to clarity faster than ever before. SpotterViz removes the blank-page problem by understanding your intent, identifying the right questions, finding the right data, and building a complete Liveboard with narrative flow and logical structure, in minutes. With a single prompt, it plans the story, creates answers with Spotter, and gives you a ready-to-explore, intuitive first draft dashboard in minutes — no dragging, dropping, or guesswork required.
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SpotterCode brings AI-assisted coding directly into your IDE, letting you start with a simple prompt that describes the experience you want. It understands your intent and generates the right code patterns, components, and embed logic—so you can move quickly from idea to intelligent feature without getting bogged down in repetitive setup work.
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Spotter is your analytical partner for trusted insights on your enterprise data. Just ask a question, and it reasons through every step, checks its own work, and continuously refines the result, just like an analyst. Able to answer your most advanced analytical questions and reason across both structured and unstructured data, Spotter delivers accurate, explainable answers to help you move from question to trusted insight without manual analysis.
Learn moreYour infrastructure choices are critical to the success of your AI strategy. Spotter is designed to integrate seamlessly with leading cloud platforms and any large language models (LLMs) you choose, including the GPT-series models, Google Gemini, Snowflake Cortex, and Claude. This flexibility allows Spotter to adapt to your existing data ecosystem, rather than forcing you to change your infrastructure. Spotter works with the choices you’ve already made, making it easier to unlock the full potential of your data.


Drive greater ROI by eliminating complex query processing and rigid workflows with Spotter’s multi-skilled agentic analytics. Instantly get actionable answers to any business-critical question—like “how do I reduce churn?”—with Spotter’s automatic, multi-dimensional analysis that uncovers not only the “what,” but also the“how” and “why.” Effortlessly adapt to any business context and empower your team with natural, conversational data exploration, real-time feedback, and transparent insights that build trust, accuracy, and confidence at scale.

Today’s business leaders need insights fast in the tools and applications they log into every day. Spotter is not just a part of your enterprise dashboards — it can be embedded in your custom or business applications with just a few lines of code, making it easy to surface insights and take action wherever you are. Imagine your AI insights connected across Salesforce, ServiceNow, Slack, and mobile. With ThoughtSpot MCP Server, integrate Spotter’s skills into your custom agents, LLMs, and agentic applications. ThoughtSpot makes it easy to turn any app into an intelligent app.
Asking a business question sounds simple.
But there’s a lot of complexity involved in getting a trusted, accurate, and relevant answer from your data using GenAI. For self-serve analytics that actually drive business outcomes, your AI solution must:
The data you want to analyze will never be perfectly clean. Real-world datasets may cover multiple use cases, requiring extensive joins across hundreds of tables and thousands of columns to unlock insights.
Translating complex business questions into data queries is hard because of natural language nuances, including spelling mistakes and typos, ambiguous references, and incompleteness.
Business questions are inherently complex, often requiring deep, multi-layered analyses beyond simple queries. These analyses need to be performed on the fly, ranging from filters and comparisons, to formulas and query within other queries.
Every industry and business uses unique terminology. The same phrase can hold different meanings depending on your context. Certain questions cannot be answered reliably without additional business context or direct guidance from users with industry expertise.
Foundational models and text-to-SQL solutions just don’t cut it.
Our tech stack tackles complexity head-on, delivering results no one else can.
Here’s how we uniquely do it.
