Spotter Semantics

Your Foundation For Trusted Enterprise AI

Spotter Semantics turns raw, fragmented enterprise data into governed business context that’s deterministic by design. That means you get trusted answers, every time.

REQUEST A DEMO

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 Vizio
TS Customer Lyft
TS Customer Cisco
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 Vizio
TS Customer Lyft
TS Customer Cisco
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 Vizio
TS Customer Lyft
TS Customer Cisco
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 Vizio
TS Customer Lyft
TS Customer Cisco
TS Customer BD
TS Customer LG
TS Customer Brambles
TS Customer Trust

One Source Of Truth For Every Agent And User

Encode your business context and logic once, and Spotter Semantics serves it to every tool your teams use: AI agents, dashboards, and embedded apps alike.
Lightning

Standardize definitions once

When "revenue" means different things to different teams, you get different answers. Spotter Semantics encodes shared definitions, business logic, and metric calculations once, so every dashboard, query, and agent works 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 the machine-readable context—definitions, join logic, hierarchies, and security rules—that lets agents interpret intent accurately instead of hallucinating on raw table names.

Rocket

Guarantee explainable results

Spotter Semantics uses a patented query generation engine to automatically compile agent intent into deterministic SQL. Every answer securely enforces join logic, hierarchies, and security, ensuring insights are traceable, verifiable, and grounded in approved definitions, rather than probabilistic guesses.

Rocket

Connect to any agentic system

With the ThoughtSpot MCP Server, Spotter Semantics plugs into any AI agent or LLM (Claude, ChatGPT, and beyond) and works across Snowflake, Databricks, dbt, and other tools compatible with Apache Ossie. Your source of truth remains yours, so you're never locked into one platform.

The Industry Standard For Governed AI

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

0
Leader in Gartner Magic Quadrant for Data & Analytics
0.0/5
On Gartner® Peer Insights
0
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.
ThoughtSpot Agentic Anayitcs Product Interface

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.
ThoughtSpot Agentic Anayitcs Product Interface

Guarantee Accurate, Verifiable Answers

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

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, while ThoughtSpot’s engine automatically enforces security rules.
ThoughtSpot Agentic Anayitcs Product Interface

Human-Verified Knowledge To Make AI Smarter

Definitions verified by humans and curated coaching create a feedback loop that continuously improves AI accuracy while maintaining strict governance.
ThoughtSpot Agentic Anayitcs Product Interface

Power Any Agentic Ecosystem With Semantics

Plugs directly into any LLM or platform—Snowflake, Databricks, ChatGPT, Claude—via ThoughtSpot MCP Server and Apache Ossie (formerly OSI).
ThoughtSpot Agentic Anayitcs Product Interface

Scale Agentic Insights With Zero-Copy or Cached Data

Directly query live data in your choice of warehouse without movement or duplication—ensuring data residency and real-time governed access—or query cached data for cost savings.

Everything Your Semantic Layer Needs To Scale

Enterprise-grade capabilities for governance, security, integration, and consistent analytical results.
Semantic intent with unique hybrid architecture Icon

Semantic intent with unique hybrid architecture

Provides human-in-the-loop validation for agent output, with human-verifiable business definitions, that capture agent intent reliably before compiling to warehouse SQL.

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.

Custom calendar definitions Icon

Custom calendar definitions

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

Cohort and level-of-detail logic Icon

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.

Data security guarantee Icon

Data security guarantee

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

Kyle Ingerman
Company Icon

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

Kyle Ingerman
SVP of Strategy
Zencargo

Ready to scale agentic AI with confidence?

BOOK A DEMO START A FREE TRIAL