apache/ossie

It solves semantic fragmentation where the same KPI is defined differently across tools, requiring manual reconciliation. It also ensures AI agents produce reliable outputs grounded in consistent business logic by providing a common semantic model.

Developers can build interoperable data pipelines where semantic definitions are shared across dbt, GoodData, Polaris, Salesforce, and other tools. Real-world use cases include unifying business metrics across an organization, enabling AI agents to reason with consistent definitions, and automating semantic model validation. The ceiling is a fully standardized semantic layer across the entire data ecosystem.