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What AtScale doesWhat we do, and what we refuse to guess at.
The path to 100% accuracyA hard road. Here's how we're paving it.
How AI scores on BIRD-InteractAll LLM smarts. Just 21%.
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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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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 28, 2023 / Posted by:

AtScale Named 2023 Databricks Emerging Partner of the Year

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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.

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Universal Semantic Layer
AI Context and MCP
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Self-Service BI
Semantic Modeling
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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.

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