Spotter Semantics

Your Foundation For Trusted Enterprise AI

Spotter Semantics turns raw, fragmented enterprise data into governed business context—so every agent returns answers you can trust and act on.

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Trusted by AI-forward enterprises

TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust
TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust
TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust
TS Customer Sephora
TS Customer Huel
TS Customer Keyloop
TS Customer Wordpay
TS Customer Cona Services
TS Customer Mattel
TS Customer Verisk
TS Customer Alo
TS Customer Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer Wellthy
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust

One Source Of Truth For Every Agent

Spotter Semantics is the governed semantic foundation that transforms raw, fragmented data into consistent business context your AI and agents can reliably act on.
Lightning

Standardize definitions once

When "revenue" means different things to different teams, agents return different answers. Spotter Semantics encodes shared definitions, business logic, and metric calculations once—so your agents, AI, and embedded apps work from the same governed source of truth.

Scale

Give AI real business context

Generic AI doesn't know what "Q1" or "net revenue" means in your organization. Spotter Semantics provides machine-readable context—definitions, join logic, hierarchies, and security rules—so agents interpret intent accurately, instead of hallucinating on raw table names.

Rocket

Guarantee explainable results

Spotter Semantics uses patented search tokens and a proprietary query engine to generate deterministic SQL—so every answer is traceable, verifiable, and grounded in approved business definitions rather than probabilistic guesses.

Rocket

Connect to any agentic system

With the ThoughtSpot MCP server and Open Semantic Interchange, Spotter Semantics plugs directly into any AI agent, LLM, or platform—Snowflake, Databricks, dbt, Claude, ChatGPT, and beyond—so governed business context travels with every query, everywhere decisions are made.

The Industry Standard For Governed AI

Proven architecture that delivers verifiable, deterministic insights across the world's largest data estates.

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Leader in Gartner Magic Quadrant for Data & Analytics
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On Gartner Peer Insights
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Official patents through the U.S. Patent and Trademark office

How Spotter Semantics Makes AI Reliable

Spotter Semantics combines human-verified definitions, machine-readable context, and deterministic query generation to give every AI agent a trusted, governed foundation to work from.

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Deploy Governed Models In Minutes

Describe what you need in natural language, and SpotterModel provides guided recommendations to build AI-ready, governed data models at enterprise scale.

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Guarantee Accurate, Deterministic Answers

ThoughtSpot’s proprietary engine translates natural language into deterministic SQL—never probabilistic guesses—ensuring every insight is verifiable and traceable.

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Centralize Semantics Across All Your AI

Encode shared definitions, business logic, and security rules once so every AI agent and app works from the same source.

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Crowd-Source Knowledge To Make AI Smarter

Human-verified definitions and curated coaching provide a feedback loop that continuously improves AI accuracy while maintaining strict governance.

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Power Any Agentic Ecosystem With Semantics

Plugs directly into any LLM or platform—Snowflake, Databricks, ChatGPT, Claude—via ThoughtSpot MCP Server and Open Semantic Interchange.

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Scale Agentic Insights With Zero-Copy Data

Directly query live data in your warehouse without movement or duplication, ensuring data residency and real-time governed access.

Everything Your Semantic Layer Needs To Scale

Enterprise-grade capabilities for governance, security, integration, and consistent analytical results.
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Natural language search tokens

Provide human-in-the-loop validation for agents, with human-verifiable business definitions.

Advanced join & schema modeling Icon

Advanced join & schema modeling

Supports range, AI, and equi-joins across complex galaxy and multi-star schemas—out-of-the-box.

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Custom calendar definitions

Codify complex fiscal, 4-4-5, or 4-5-4 retail calendars for accurate trend analysis.

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Cohort and level-of-detail logic

Define level-of-detail (LOD) and group-set logic that responds correctly to filtering.

Analytics-as-code with TML Icon

Analytics-as-code with TML

Operationalize models with version control, CI/CD, and automated testing using TML.

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Data security guarantee

Inherit security groups from upstream systems or codify rules directly in semantic models.

Kyle Ingerman
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“ThoughtSpot offers a level of specificity and flexibility to present customer data that we weren’t previously able to offer at pace.”

Kyle Ingerman
Vice President, Customer Success
Zencargo

Ready to scale agentic AI with confidence?

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