AtScale

The Universal Semantic Layer for AI, BI, and Governed Analytics

Freemium

Description

AtScale provides a universal semantic layer that bridges analytics tools, AI agents, and cloud data platforms. It enables organizations to define, govern, and manage business metrics and data access centrally, ensuring consistency, security, and optimized performance across business intelligence platforms and AI-driven applications. AtScale supports live data querying, multi-protocol integrations, and aligns AI and human analytics through reusable semantic models.

By leveraging open, portable definitions and scalable architecture, AtScale empowers enterprises to unify business logic, eliminate data silos, and accelerate insight delivery. The platform is designed for data teams, BI professionals, and AI practitioners seeking to enable self-service analytics and trustworthy, explainable data experiences.

Key Features

Universal Semantic Layer: Connects BI tools and AI agents to governed, live cloud data.
Open SML-Based Semantics: Uses open, portable semantic modeling language for consistent business logic.
AI & BI Interoperability: Resolves metrics and queries through the same governed semantic models for both AI agents and BI users.
Live Cloud Connectivity: Queries cloud data platforms without moving or copying data.
Autonomous Aggregates: Optimizes query performance and controls cloud compute costs.
Multi-Protocol Integrations: Supports SQL, MDX, DAX, Python, and REST for diverse analytics environments.
Centralized Governance & Metadata Management: Enforces data policies, access control, and versioning.
Semantic Model Versioning: Supports code-based or visual workflows with CI/CD and reuse.
Deterministic Multidimensional Logic: Encodes hierarchies, financial logic, and time intelligence explicitly.
Enterprise-Grade Security: Integrates with enterprise access controls and applies existing data security policies.

Use Cases

Delivering consistent business intelligence across multiple tools
Enabling governed, reliable analytics for AI agents and chatbots
Centralizing metric definitions for analytics and applications
Embedding analytics in business applications with unified control
Supporting self-service analytics for enterprise teams
Aligning enterprise data governance and trust
Optimizing cost and performance of cloud analytics workloads

Frequently Asked Questions

What is AtScale?

AtScale is a universal semantic layer platform that connects business users and AI agents to live cloud data, enabling fast, governed analytics and decision-making without moving or duplicating data.

Which tools and platforms does AtScale integrate with?

AtScale integrates with modern cloud data platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, Microsoft Azure, and InterSystems, and works with BI and AI tools like Tableau, Power BI, Excel, Looker, Python, and agent frameworks.

How does AtScale's pricing model work?

AtScale uses consumption-based pricing, charging for deployed semantic objects that are available for end-user analytics, with unlimited users and queries included. Volume discounts apply as deployed objects increase.

How does AtScale support AI agents?

AtScale exposes business-friendly semantic models to AI agents, allowing them to query, compute, and reason with governed, real-time data, ensuring AI-driven analytics are accurate and auditable.

Is AtScale secure?

Yes. AtScale queries data in place without storing or copying it and integrates with existing data security policies and enterprise access controls to ensure secure, governed analytics.