Trustworthy Generative AI Solutions with AtScale's Semantic Layer

AtScale embeds business context into generative AI, large language models (LLMs), and machine learning (ML) workflows to ensure accurate, governed, and cost-efficient AI-powered insights. Eliminate manual data prep, reduce hallucinations, and deliver results your organization can trust—all powered by a Universal Semantic Layer.

Streamline Data Preparation

Eliminate manual wrangling with virtualized, analysis-ready data.

Accelerate Model Development

Leverage pre-built metrics and logical features.

Governed Environment

Build in a trusted, secure, and compliant environment

Prevent Hallucinations

Feed models with consistent business logic and definitions.

Improve NLQ Precision

Dynamically map natural language to business terms and queries.

Boost text-to-SQL Precision

Enable natural language prompting (NLP) and achieve up to 92.5% query accuracy with semantic modeling

Bridge Teams

Align data science, engineering, and business users around a single source of truth.

Embed AI into BI

Surface predictive insights directly into BI tools like Tableau, Power BI, and Excel.

Optimize Cloud Spend

Reduce compute costs with intelligent query pruning and consumption-based pricing.

How AtScale’s Semantic Layer Powers Trustworthy AI Solutions

Prevent Hallucinations: Embed governed business definitions directly into LLM workflows to return accurate, context-aware answers.

Eliminate Data Wrangling: Access clean, consistent data across all tools through virtualized access to the semantic layer.

Harden AI/ML Pipelines: Dynamically serve features using logical metrics and automate with bi-directional Python integration through AI-Link.

Seamless Tool Integration: Connect to Jupyter, AutoML platforms, LLMs, and BI tools with AtScale’s Python API and robust connector ecosystem.

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AI-Ready Contextualization with a Universal Semantic Layer

A Unified AI & BI Ecosystem

AtScale supports any BI tool, AI workflow and generative AI

AtScale empowers data teams to streamline AI workflows, embed intelligence into decision-making, and scale AI initiatives—all while maintaining governance and trust.

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AtScale is able to capture all the meaning and the definitions that are currently trapped in these arcane languages and different tools and then still make it accessible to users where they are in Power BI or Qlik and Tableau.

Joshua Green, Data and AI Strategist at Databricks

LLMs are powerful, but out of the box, they lack the business context necessary for accurate decision-making. By integrating a semantic layer, we bridge that gap—ensuring that GenAI understands an organization’s unique KPIs, data relationships, and business logic. The result is not just AI-driven insights, but AI-driven insights you can trust.

Jeff Curran, Lead Data Scientist at AtScale

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