Meet AtScale
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Meet AtScale
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What AtScale does
What we do, and what we refuse to guess at.
The path to 100% accuracy
A hard road. Here's how we're paving it.
How AI scores on BIRD-Interact
All LLM smarts. Just 21%.
AI accuracy in your industry
Same-store sales, churn, downtime. Settled.
Watch the trailer
Ninety seconds, no form.
The concepts
What is an AI computation engine?
What is a semantic layer?
Why AI guesses at your metrics
AtScale versus catalogs
AtScale versus ontologies
Why skills alone aren't enough
Product
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How AtScale works
Vague question in, accurate number out.
AtScale ACE
AI Computation Engine. It doesn't guess.
AtScale CoModel
AI-assisted semantic modeling.
AtScale Ava
Ask, Verify, Answer. Clarify vague prompts.
AtScale Canary
Checks answers against a gold standard.
AtScale Governance
Ships definitions like code, permissions too.
Editions
AtScale Enterprise
The full platform, on any warehouse
AtScale for Snowflake ↗
Snowflake ships AtScale inside Semantic Views.
Computes on
Snowflake
Databricks
Google BigQuery
Amazon Redshift
Microsoft Azure
All data platforms →
Works with AI
Model Context Protocol
Claude
Cursor
ChatGPT
Open-weight models
All AI tools →
Serves BI
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Looker
All BI tools →
Use Cases
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What you’re solving
AI accuracy
Business intelligence
Data governance & trust
Semantic modeling
Conversational analytics
Context for AI
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Your industry
Retail & consumer
Financial services
Supply chain & logistics
Telecom
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All industries →
Customer stories
Blue Yonder
Papa Johns
TELUS
Vodafone
Bluemercury
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Updated April 17, 2025 / Posted by:
Live DAX Connection Between Power BI and Cloud Data Sources
Blog
/
Analytics Modernization
,
Semantic Layer
,
Microsoft Power BI
,
Interactive Demos
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