Blue Yonder
A thousand dashboards and 800 tables became ten semantic models. Analysis that took a team four days returns in about ninety seconds.
The Universal Semantic Layer
A calculator
for AI
Enterprise AI is only as accurate as the semantic layer beneath it.
Trusted by teams at:
Turning massive data into consistent answers.
Turning massive data into consistent answers.
Turning massive data into consistent answers.
Turning massive data into consistent answers.
Turning massive data into consistent answers.
Turning massive data into consistent answers.
Turning massive data into consistent answers.
Reimagined for AI
Ask twice, get two answers, pay for both. Point a model at your warehouse and it writes SQL from whatever it can see.
Turns a metric into SQL and computes it in your warehouse, then serves the same number to everything that asks.
AtScale ACE
Reads a question in plain language and resolves it to one metric before anything runs.
AtScale AVA
Builds and maintains the semantic model with AI as a partner.
AtScale CoModel
ComingScores your answers against a gold standard and names the ones that failed.
AtScale Canary
ComingWarehouse permissions carry through, enforced in one place. Definitions ship like code.
AtScale Governance
A universal semantic layer
for Enterprise AI
Keep the AI you picked.
Keep the warehouse you built.
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Computes on
- Snowflake
- Databricks
- Google BigQuery
- Apache Iceberg
- Microsoft Fabric
- See all platforms
Works with AI
- Claude
- ChatGPT
- Cursor
- Codex
- Copilot
- See all platforms
Serves BI
- Power BI
- Excel
- Tableau
- Looker
- See all BI tools
Running in production,
at companies you know.
Carrefour
Three thousand KPIs and more than a thousand users on one semantic layer, now feeding agentic AI.
Snowflake
Chose AtScale as the engine inside Semantic Views, and invested.
See AtScale in Action
Try a Self-Guided Tour
Same problem,
nine vocabularies.
LLMs and agents cannot safely infer joins, metric definitions, or time intelligence from raw schemas.
Retail & Consumer
Comps are up for merchandising. Flat for finance. Guidance goes out Thursday.
Financial Services
Regulators don't accept "Copilot said so."
Supply Chain
On time for the carrier. Late for the customer.
Telecom
Is a suspended line a churned customer?
Healthcare
Discharged in June. Admitted in July. Count as a readmission?
Manufacturing
Plant 4 has the best uptime. Plant 4 counts changeovers as running. You just moved the capex.
Insurance
Is a reopened claim a new claim?
Media & Entertainment
One password. Four households. Wall Street gets one number.
Adtech
Three platforms took credit for one sale. Three of them invoiced you.
Universal by Design
Ask your Own Question
Bring a metric your team argues about and watch it come back the same way twice.
Awards
Recognized as a
Leader in
semantic layers.
AtScale has been named a Leader in the 2025 GigaOm Radar Report for Semantic Layers and Metrics Stores.
Request a Demo
FAQ
What is AtScale?
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What problems does the AtScale Semantic Layer solve?
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How does the AtScale Semantic Layer platform work?
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Who is AtScale for?
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Which tools and platforms does AtScale integrate with?
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How does AtScale support AI agents?
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What makes AtScale different from other data analytics platforms?
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Is the AtScale Semantic Layer secure?
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Access semantic layer blog posts, webinars, interactive demos, reports, and more
White Papers & Reports2026 State of the Semantic Layer
GuidesHow Enterprise Data Leaders Build AI-Ready Analytics
Case StudiesCloud-Based OLAP Transformation: How Vodafone Portugal, Celfocus, and AtScale Modernized Analytics
White Papers & Reports2025 GigaOm Radar Report: Semantic Layers & Metric Stores
White Papers & ReportsEnable Natural Language Prompting with AtScale’s Semantic Layer & Generative AI
GuidesThe Buyer's Guide to the Best Semantic Layer Tools for Data and Analytics
GuidesExecutive Guide: Bridging Enterprise Analytics & GenAI with Semantic Layers
Guides
Technical Overview
Guides