AtScale has joined the Open Semantic Interchange to strengthen an open source, vendor-neutral standard for semantic metadata, aiming to improve interoperability and consistent metrics across enterprise AI and BI platforms.
AtScale has joined the Open Semantic Interchange (OSI), an open source initiative working to create a universal, vendor-neutral semantic model specification for enterprises struggling with fragmented data definitions.
OSI is designed to standardise semantic metadata across organisations, enabling consistent metrics and definitions across dashboards, notebooks, and machine learning models. By providing a common, open specification, OSI aims to improve interoperability across tools and platforms used for enterprise AI and business intelligence.
The initiative is led by Snowflake, the AI Data Cloud company, with ecosystem partners spanning business intelligence, data governance, data engineering, artificial intelligence, financial services, and manufacturing. OSI’s objective is to define semantic metadata in a standard, open format, independent of proprietary vendor control.
AtScale brings more than a decade of real-world enterprise semantic layer deployment experience to OSI, including work with organisations such as Home Depot and Fidelity. This production experience is expected to help shape OSI’s open standard around practical, large-scale semantic modelling requirements.
The company contributes deep expertise in multidimensional semantic modelling, MDX, and OLAP-style query semantics, supporting enterprise modernisation from legacy platforms such as Microsoft SSAS and IBM Cognos to cloud-native architectures, while preserving complex dimensional logic, hierarchies, aggregation rules, and calculation behaviour.
This expertise is reflected in AtScale’s Semantic Modeling Language (SML), a mature, production-proven, tool-agnostic specification used to define portable semantic logic across modern cloud data platforms, analytics tools, and AI-driven applications.
