A Semantic Layer for:

Agentic AI & Natural Language Query

Trusted, Consistent Metrics

Optimized Cloud Costs & Performance

The leading platform for governed, AI-ready metrics at scale

Trustworthy AI flow
Party Harder

Connect any data source to any AI/BI tool without moving your data

A semantic layer maps complex data to familiar business terms, like product, revenue, or customer, to create a unified, governed view of data across your organization. It empowers users and AI agents to access accurate insights autonomously.
Redshift
Databricks
Google Big Query
Data Warehouse/ Lakehouse
Snowflake
Azure Synapse
Cloudera
Semantic Layer
Data Democratization & Governance
Cloud Cost Management & Performance
Enabling Gen AI with Business Context
Gen AI / LLM
BI Tools
AI Agents / Chatbots
Applications
BI Tools
AI Agents / Chatbots
Applications

Modern Analytics for Every Role and Data Stack

The Universal Semantic Layer for Enterprises

Empower teams with secure, real-time data access, governed semantic modeling, and universal compatibility across tools and protocols.

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. Learn More -->

FAQs

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.

AtScale solves the challenge of fragmented, inconsistent data by creating a unified, business-friendly and governed view across your data ecosystem. It aligns business metrics, enforces data policies, and provides a trusted foundation for both human users and AI agents—ensuring insights are accurate, consistent, explainable, and enterprise-ready.

AtScale sits between your cloud data warehouse and analytics tools—like Excel, Tableau, Power BI, and Python—as well as AI frameworks. It builds a semantic model that defines metrics and relationships once and makes them reusable across platforms. This enables sub-second queries, consistent answers, and scalable support for AI-driven workflows.

AtScale is built for enterprise data teams, BI professionals, and AI/ML practitioners. It supports anyone looking to drive self-service analytics, accelerate machine learning workflows, enable autonomous agents, or scale governed data access across cloud platforms. From financial services to healthcare, leading organizations use AtScale to unify business logic and power the next generation of agentic AI.

AtScale integrates with modern cloud data platforms including Snowflake, Databricks, Google BigQuery, Redshift, and Azure Synapse. It works with BI and AI tools like Tableau, Power BI, Excel, Python, and agent frameworks that rely on natural language interfaces and semantic reasoning.

AtScale provides the trusted data foundation that agentic AI needs to operate effectively. It exposes business-friendly semantic models to agents—enabling them to query, compute, and reason with governed, real-time data. By aligning AI actions with defined metrics and policies, AtScale ensures AI agents are accurate, auditable, and enterprise-ready.

AtScale is uniquely positioned to power both traditional BI and next-gen AI. Unlike other platforms, AtScale's engine enables a consistent semantic layer that works across tools and agents—without data movement. The engine's autonomous data engineering capabilities reduces latency, improves governance, and accelerates time-to-insight for both users and AI-driven systems.

Yes. AtScale queries data in place, never storing or copying it. It respects your existing data security policies and integrates seamlessly with enterprise access controls—ensuring both human users and AI agents operate within trusted, auditable boundaries.

Start Building: AtScale Developer Edition