Text-to‑SQL Accuracy (100%)
AtScale’s Query Engine + Semantic Layer combination achieves market-leading natural language to SQL accuracy.
AI‑Ready Metadata Intelligence
Active semantic graphs support agentic analytics, optimize performance, and learn from usage automatically.
Power Agentic Workflows
Fuel autonomous agents with a universal semantic layer that aligns AI actions to business rules and real-time data.
Build AI on Trusted Business Logic
Train machine learning models on governed, production-grade metrics defined in a semantic layer to ensure explainability and alignment with business goals.
Prototype Faster with Semantic Consistency
Accelerate model development by accessing semantically consistent, analytics-ready datasets—no more manual KPI definitions or custom data wrangling.
Enable Cross-Platform Flexibility
Work seamlessly across cloud data platforms, notebooks, and ML pipelines with a universal semantic layer that standardizes metric definitions and preserves data fidelity.
Align with Open Semantics
Unify teams with a shared semantic layer built on open standards, delivering consistent, governed definitions across BI tools and AI agents.
Operationalize AI in BI
Surface predictive and prescriptive insights directly in Tableau, Power BI, and Excel through a semantic layer that bridges AI and business logic.
Control Cloud Costs with Intelligence
Optimize query performance and reduce spend with intelligent data pruning, semantic-aware caching, and support for consumption-based pricing models.
Trustworthy AI Starts with a Smarter Semantic Layer
Accuracy Meets Explainability: By feeding LLMs with essential business metadata, AtScale eliminates the need for agents to infer joins or KPI definitions (achieving 100% accuracy vs. 20% baseline).
Agentic & Conversational Analytics: AtScale’s Semantic Layer empowers AI agents, not just dashboards, to run precise, explainable analytics, enabling conversational query interfaces and automated data products.
Automated Modeling with One Click: New “One‑Click Modeling” uses AI to identify metrics, relationships, and hierarchies—speeding time to insight without sacrificing governance.
How AtScale’s Semantic Layer Powers Accurate AI Solutions
Model Generation & Governance: Use drag-and-drop, code (SML), or automated modeling to build semantic definitions with tracked lineage.
Semantic Layer + Semantic Query Engine: Make queries simple for Agents and LLMs by eliminating table joins and on-the-fly calculations.
Reliable Output for Tools & Agents: Deliver consistent, trusted data to Power BI, Tableau, Excel, Jupyter, and conversational agents.
Designed for the Age of Agentic Analytics
The future of analytics goes beyond reports and dashboards. The future is all about AI agents that can query, reason, and act across domains.
AtScale is the only semantic layer built to support both human and machine understanding, governing metric definitions, surfacing explainable results, and generating composite insights.
Whether building LLM copilots, conversational BI, or decentralized data products, AtScale turns your data into trusted intelligence.
A Unified AI & BI Ecosystem
Seamless Ecosystem Integration: Works with the AtScale MCP Server and Databricks Genie, Snowflake Cortex Analyst, Power BI, Tableau, Excel, Jupyter, AutoML, LLMs, and AI agents.
