Company Extends Leadership Position with Enhanced GenAI Capabilities and Advanced Data Modeling

AtScale, a leader in semantic layer technology, today announced it has been named both a Leader and Fast Mover in the 2025 GigaOm Radar Report for Semantic Layers and Metric Stores. This marks the third consecutive year AtScale has earned leadership recognition from GigaOm, highlighting the company’s sustained innovation and market leadership in the rapidly evolving semantic layer space.

The 2025 GigaOm Radar Report provides a comprehensive assessment of key vendors in the semantic layer and metrics store market. AtScale was recognized for its position in the Innovation/Platform Play quadrant, underscoring its commitment to advancing the technology and enabling enterprises to unify analytics and AI strategies.

Key Strengths Highlighted in the Report:

• GenAI Enablement Leadership: The report highlighted AtScale as a semantic foundation for GenAI workloads. Capabilities include support for the Model Context Protocol (MCP), GenAI application development with the AI-Link Python SDK, and compatibility with all major LLMs with MCP.
• Platform Innovation: AtScale was also recognized for ongoing innovation in key areas, including container-based deployment, natural language query (NLQ) support, an open-source repository for semantic models, and a unified platform supporting both code-first and no-code experiences.
• Advanced Modeling Language Support: AtScale’s Semantic Modeling Language (SML), an object-oriented, YAML-based modeling language, was recognized for its modularization and composability of semantic definitions. SML supports version history, pull requests, and CI/CD workflows that bring software engineering best practices to data modeling.
• Enhanced Query Language Compatibility: AtScale’s August 2025 release expanded support for DAX Level 1600, enabling full parity with Power BI modeling features such as model inheritance, live connections, and client-side measures.

“GigaOm’s recognition validates what we’ve been doing from the start, building real infrastructure for enterprise semantics,” said David P. Mariani, Co-Founder & CTO of AtScale. “Our focus has always been on the hard problem: scaling trusted, governed analytics to support GenAI without breaking what already works. The semantic layer provides the critical bridge that turns raw data into reliable, business-ready intelligence enterprises can trust at scale.”

AtScale’s Universal Semantic Layer powers a wide variety of enterprise use cases, from standardizing metrics definitions and accelerating BI performance to enabling predictive analytics, machine learning, and governed AI agent workflows. The GigaOm Radar Report highlights the semantic layer’s growing role in addressing modern enterprise demands, driven by advancements in query engines and the need for trusted GenAI integration.

For more information, download the report or visit the AtScale Blog or Request a Demo.

About AtScale

AtScale enables smarter data-driven decisions by bridging the gap between data and analytics, simplifying and extending BI and AI capabilities. With its Universal Semantic Layer, AtScale empowers enterprises to create business-friendly data models that ensure consistency and accuracy across analytics tools. With over a decade of innovation, AtScale continues to lead the industry, transforming how enterprises utilize and analyze their data. For more information, please visit www.atscale.com.

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