AtScale, a provider of universal semantic layer solutions, has joined the Open Semantic Interchange (OSI), an open-source initiative led by Snowflake, aimed at establishing a universal specification for standardizing fragmented data definitions through an open, vendor-neutral semantic model.\n\nThe Open Semantic Interchange (OSI) seeks to enhance interoperability across various tools and platforms by offering enterprises a vendor-neutral specification. This initiative aims to provide consistent metrics and definitions across dashboards, notebooks, and machine learning models. Led by Snowflake, the AI Data Cloud company, OSI includes ecosystem partners from diverse domains such as business intelligence, data governance, data engineering, AI, financial services, and manufacturing, all working to create a common specification for semantic metadata in a standard, open format.\n\nAtScale contributes over a decade of experience in deploying enterprise semantic layers for major organizations like Home Depot and Fidelity. This practical experience is particularly valuable to OSI, as many participants are addressing large-scale semantic modeling challenges for the first time. AtScale’s leadership in multidimensional semantic modeling, coupled with its expertise in MDX and OLAP-style query semantics, is crucial for enterprises modernizing from legacy platforms such as SSAS and Cognos. This allows for the preservation of complex dimensional logic, hierarchies, aggregation rules, and calculation behavior during transitions to modern, cloud-native data platforms.\n\nAtScale’s Semantic Modeling Language (SML), a mature and production-proven specification, defines semantic logic in a portable, tool-agnostic format. The company’s experience in developing and operating SML in real-world enterprise environments is expected to inform OSI’s mission, helping to ensure the open standard is grounded in practical, production requirements rather than purely theoretical models.\n\nDavid Mariani, CTO and Founder of AtScale, stated, “We have long believed that the semantic layer is foundational for scalable enterprise AI, but it must be open to be effective. By participating in the Open Semantic Interchange, we’re contributing over a decade of experience migrating enterprises from closed proprietary systems to open, cloud-native semantic architecture to help ensure the standard reflects real-world complexity while preserving choice and interoperability across tools.”\n\nJosh Klahr, Director of Analytics Product Management at Snowflake, commented, “Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock. Our collaboration with partners like AtScale establishes a unified, vendor-neutral standard for semantic data, ensuring clarity and consistency across the entire ecosystem. This initiative is essential for simplifying data operations, fostering innovation, and preparing organizations to build the next generation of AI applications.”\n\nAtScale’s platform already enables large enterprises to define governed metrics that operate consistently across cloud data platforms, including Snowflake, Databricks, and Google BigQuery. These metrics are accessible across analytics and BI tools such as Power BI, Tableau, and Excel, as well as AI and LLM-driven applications, including enterprise AI agents, copilots, and custom generative AI applications built on platforms such as OpenAI and Anthropic. By aligning its multidimensional modeling approach and SML expertise with OSI, AtScale reinforces its commitment to an open ecosystem where governed business logic is portable and accessible to both human analysts and AI agents.