Meet AtScale
Start here
What AtScale doesThe three-minute version
The path to 100% accuracyAccuracy = Process + Tools
The cost of LLM guessingCost = Tokens × Guesses
Watch the demoTen minutes, no form
Understand the idea
What is a semantic layer?
What is an AI computation engine?
Why AI guesses at your metrics
Semantic layer vs. catalogs and ontologies
Now playing
Why Snowflake bet on AtScale
Snowflake chose AtScale as the engine inside Semantic Views. Here’s what that says about the layer underneath your AI.
Read the story →
Side one, track one.
Product
Platform
AtScale Product OverviewHow the pieces fit together
AtScale ACEThe AI Computation Engine
AtScale CoModelAI-assisted semantic modeling
AtScale ClarifyResolves a prompt to one metric, and asks when it cannot tell
AtScale CanaryAttests the answer is right
AtScale GovernanceShips your definitions like code, and carries your permissions through
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AtScale for Snowflake ↗Runs natively inside Snowflake
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Google BigQuery
Amazon Redshift
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Claude
Cursor
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Open-weight models
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Plays with everything. Owes nothing to anyone.
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Blue Yonder
Papa Johns
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Bluemercury
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Certified gold
Blue Yonder: 30 hours to 90 seconds
A thousand dashboards and 800 tables became ten governed models. Analysis that took a team four days now runs in about ninety seconds.
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Real deployments. No air guitar.
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Blog
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Wanted: troublemakers
Rules are optional. Correct numbers aren’t. Join us, and let’s make a dent in the AI universe together.
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Updated June 16, 2026 / Posted by:

How Enterprise Data Leaders Build AI-Ready Analytics

The Universal Semantic Layer for enterprise AI and analytics.

AtScale provides the Universal Semantic Layer for enterprise AI and analytics. A semantic layer is the shared dictionary for a company’s business — the one governed place where metrics like revenue, active customers, and margin are defined once, so every tool and every AI answers with the same number. With AtScale for AI, it’s the first semantic computation layer built for AI, giving agents and LLMs one governed place to compute business metrics accurately through the ACE engine, AtScale CoModel, and the AI Accuracy Flywheel.

Product & Use Cases

Universal Semantic Layer
AI Context and MCP
Agentic Analytics
Data Governance and Trust
Self-Service BI
Semantic Modeling
AtScale for Snowflake
Integrations
Pricing

Resources

All Resources
Blog
Documentation
Guides
Interactive Demos
Podcast
Product Demos
Solution Briefs
Webinars
White Papers and Reports

Company

About AtScale
Careers
Contact Us
Customer Login
Leadership Team
Newsroom
Partners
Privacy Policy
Services and Support
Sitemap
Trust and Compliance

Customers

All Customer Stories
Bluemercury: Retail Self-Service
Blue Yonder: AI Agents
Papa Johns: Franchise Analytics
TELUS: Network Analytics
Tier 1 Bank: AI Optimization
Vodafone: Scalable Cloud-Native Analytics

Learn

A Skill or README Isn’t a Semantic Layer
Best Agentic AI Tools for Enterprises
Scaling AI Efficiently with Semantic Layers
The Real AI Sovereignty Fight Is About Meaning
What Is a Semantic Layer?
What Is AI Context?
What Is AI-Ready Data?
Why ChatGPT Gives Different Answers to the Same Question
Your AI Isn’t Expensive. It’s Guessing.

Privacy/Terms/Security

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Understand the idea

Platform

Editions

Computes on

Works with AI

Serves BI

What you’re solving

Your industry

Customer stories

Read

Watch & Listen

Learn AtScale

Community

Work with us

Partners

About

How Enterprise Data Leaders Build AI-Ready Analytics