Modeling
Modeling defines what your data means. Build it in minutes with AI.
It turns your tables and tribal knowledge into business logic – the entities, metrics, and relationships that describe how your company actually works.
Build fast with AI
Use your favorite coding agent like Claude, Codex or Copilot to build Honeydew data models in minutes. Honeydew MCP interfaces enable AI to construct and validate entities, relationships, metrics and context.
Entities & Relationships
Define your core business objects – like Customer or Transaction – and how they connect.
Honeydew semantic compiler understands these relationships and uses them to generate joins, context, and filters automatically.
Metrics: the language of the business
Metrics are how your business measures itself — Revenue, Active Users, Retention, Margin.
Define those metrics once, and reuse them everywhere. The Honeydew semantic compiler constructs on-the-fly correct SQL for any data consumer that needs them.
Metadata: your business context
Both humans and AI agents need context in order to understand how to use the data. When users say an acronym like GMV, what do they mean? What metrics matter? What business nuances are important?
Metadata in the Honeydew is available to BI users as documentation and to AI as a managed business context.