Semantic Layer Solution - BI & Data & Analytics Software | AtScale
A Semantic Layer for
Optimized Performance
Snowflake
Context for AI
Platform Independence
Power AI agents, BI tools, and analytical applications with governed business logic, consistent metrics, and cost-controlled performance.
Run AI & Analytics on Governed Semantic Models
AI agents, dashboards, and applications execute metrics, joins, time logic, and security through the same semantic foundation.
Redshift
Databricks
Google Big Query
Data Warehouse/ Lakehouse
Snowflake
Azure Synapse
Cloudera
Semantic Layer
Semantic Modeling
Semantic Query Engine
Cloud Compute Cost & Performance Management
Governance & Metadata Management
Metric Store
AI-First Semantic Infrastructure
AI-Driven Analytics
Enable agentic and conversational AI to execute analytics deterministically through semantic models and MCP.
Human-Driven Analytics
Deliver consistent metrics across Power BI, Excel, Tableau, Looker, and other BI tools.
Application-Driven Analytics
Embed governed analytics into applications and services with centralized control.
Semantic Models
Define and manage semantic models using code-first or visual workflows, with versioning, CI/CD, and reuse across BI, applications, and AI.
Trusted AI Starts with Defined Business Logic
LLMs and agents cannot safely infer joins, metric definitions, or time intelligence from raw schemas.
Leader in Semantic Layers for Three Years in a Row
AWARD
AI-First Execution
Agents resolve analytics through defined semantic objects — not generated SQL.
Open, Portable Semantics
Semantic definitions are built on open SML, enabling portable, versioned, and governed business logic across AI systems, BI tools, and cloud data platforms.
Live Cloud Connectivity
AI and BI query live data in Snowflake, Databricks, BigQuery, and Redshift without data movement.
AI & BI Interoperability
AI agents and BI tools resolve metrics through the same governed semantic models — eliminating duplicated logic and conflicting results.
AI Performance & Cost Control
Autonomous aggregates prevent repeated full-table scans and runaway warehouse spend.
Deterministic Multidimensional Logic
Time intelligence, hierarchies, financial logic, and drill paths are encoded explicitly.
Unify Your Data Ecosystem
Multi-protocol deep integrations that support SQL, MDX, DAX, Python, and REST protocols, integrating seamlessly with various BI tools or visualization platforms.
FAQs
What is AtScale?
AtScale is the first and most complete universal semantic layer platform. It connects business users and AI agents to live cloud data—enabling fast, governed analytics and decision-making without moving or duplicating data.
What problems does the AtScale Semantic Layer solve?
AtScale solves the challenge of fragmented, inconsistent data by creating a unified, business-friendly and governed view across your data ecosystem.
How does the AtScale Semantic Layer platform work?
AtScale sits between your cloud data warehouse and analytics tools. It builds a semantic model that defines metrics and relationships once and makes them reusable across platforms.
Who is AtScale for?
AtScale is built for enterprise data teams, BI professionals, and AI/ML practitioners.
Which tools and platforms does AtScale integrate with?
AtScale integrates with modern cloud data platforms including Snowflake, Databricks, Google BigQuery, Redshift, and Azure Synapse.
How does AtScale support AI agents?
AtScale provides the trusted data foundation that agentic AI needs to operate effectively.
What makes AtScale different from other data analytics platforms?
AtScale is uniquely positioned to power both traditional BI and next-gen AI.
Is the AtScale Semantic Layer secure?
Yes. AtScale queries data in place, never storing or copying it.