AtScale Advances Semantic Layer Leadership with Innovations for Generative AI and Open Source Standard at 2025 Summit

New capabilities in automated modeling, GenAI integrations, and open semantic standards define the next era of enterprise analytics

AtScale, the leading provider of semantic layer technology for analytics and AI, today unveiled new product innovations and open standards at the 2025 Semantic Layer Summit. The virtual event brought together over 5,000 data leaders to explore the future of governed, AI-ready analytics.

This year’s keynote, presented by AtScale Co-founder and CTO David Mariani, showcased the latest advancements in the company’s Universal Semantic Layer Platform, including:

• GenAI Platform Integrations: Power trustworthy natural language analytics. AtScale now integrates natively with Databricks Genie and Snowflake Cortex Analyst, ensuring that AI-generated insights align with business definitions and governance policies.
• One-Click Modeling: Accelerate model creation with AI-powered automation. One-Click Modeling intelligently scans your source data to identify key metrics, dimensions, and relationships—eliminating manual configuration and reducing time to value.
• Composite Modeling: Enable decentralized collaboration without compromising consistency. Composite Modeling allows teams to extend or inherit existing models, making it easy to build on shared definitions while maintaining a single source of truth.
• Native PGWire Support: Seamlessly connect to modern BI tools. With inbound Postgres protocol support, AtScale now offers plug-and-play compatibility with ThoughtSpot, Superset, Sigma, and more—ensuring smooth integration across your analytics stack.
• Enhanced Power BI Integration: Deliver real-time insights with full governance. AtScale now supports native DAX and Tabular models in Power BI, enabling a unified semantic layer experience with live connectivity, consistent metrics, and no need for data duplication.
• In-Memory Aggregates: Achieve sub-second query performance. This new caching feature stores aggregated query results directly in memory, accelerating response times for even the most complex analytical workloads.

“AI and analytics are converging faster than ever—but without semantics, there’s no foundation for trust,” said David Mariani, CTO and Co-founder of AtScale. “The innovations we announced today reflect our mission to give every organization the power to scale insights securely, consistently, and intelligently. From model creation to AI integration, we’re delivering a complete platform for the next era of data-driven business.”

Driving Industry-Wide Standards Through Open Source

A central theme of the 2025 summit was an open standard for semantic standardization to prevent semantic lock-in. AtScale officially introduced the Semantic Modeling Language (SML)—the industry’s first open-source language designed for defining, sharing, and operationalizing semantic models. The SML GitHub repository now includes:

• Prebuilt semantic models for TPC-DS, AdventureWorks, and Snowplow datasets
• A developer SDK for reading and writing SML programmatically
• CLI tools for syntax validation, model deployment, and ecosystem translation

Real-World Impact: Customers and Partners Take the Stage

The summit featured real-world stories from AtScale customers who are transforming enterprise analytics with semantic layers:

• Home Depot showcased how AtScale’s semantic layer on BigQuery enabled enterprise-wide self-service in Excel, reduced time-to-insight, and delivered sub-second performance on a 20TB cube—powering a trusted, governed foundation for natural language analytics.
• TELUS demonstrated how semantic layers enabled scalable telecom network analytics through vendor abstraction and SML adoption.
• Vodafone Portugal, in partnership with Celfocus, shared how they migrated legacy OLAP systems to a modern cloud-native stack on Google Cloud—preserving familiar BI workflows while boosting performance and governance.
• Blue Mercury and HSBC discussed best practices for semantic layer implementation, aligning technical and business teams around shared models and definitions.

The Future of Semantics in the Age of AI

The event closed with a forward-looking panel featuring leaders from Snowflake, IBM, Databricks, and ThoughtSpot, who discussed the growing role of semantic layers in powering GenAI and redefining modern BI.

“Semantic layers aren’t just a trend—they’re an essential foundation for trustworthy AI,” said Bruno Aziza, Group VP of Data, BI & AI at IBM. “As enterprises scale GenAI, the semantic layer is what brings governance, consistency, and business context to every interaction.”

With continued investments in openness, ecosystem integration, and AI innovation, AtScale is redefining what’s possible with enterprise data.

You can watch all of the 2025 Semantic Layer Sessions on-demand or read the event recap blog.

About AtScale

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI, and build a more agile analytics infrastructure for better, more impactful decision-making. For more information, please visit www.atscale.com and follow us on LinkedIn.

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