The semantic heart of your organization

Keep yours metrics consistent, your AI on track, and your teams on the same page. Honeydew is the semantic layer that compiles your business logic into governed SQL for BI and AI.

ON YOUR

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SUPPORTING

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AND MORE

  • Semantic Compiler

    How truth is enforced

    Honeydew compiles every query, metric, and agent instruction from governed business logic. Deterministic execution enables 100% consistency without sacrificing flexibility.
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  • Unified Logic for Humans and Agents

    How consistency is maintained

    The same semantic layer powers BI like Tableau or Power BI – and AI like autonomous MCP agents or Slack chatbots. No semantic drift, ever.
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  • Agentic Semantic Memory

    How to trust AI to safely operate with data

    Honeydew AI runs multi-step analyses correctly by leveraging a shared semantic memory – no text-to-SQL guesswork. Every AI action has guardrails rooted in your semantic layer.
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  • Enterprise Ready

    How trust and control scale

    Honeydew processes data inside your data warehouse, using your LLM provider. User identity propagation and native role-based access controls ensure end-to-end security. All changes are are version-controlled through your Git provider and managed with full governance.
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Trusted by teams that care

Pizza Hut
“It does not matter if they use Excel, Power BI, AI or any other BI tool. Everyone gets the same answer”
KARTIK PILLAI
Director of Data & Analytics
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“The biggest win for our users is how easy it is to get data for any question in a consistent and safe way – just type it in plain English in Slack. With Honeydew, our team workflow is now streamlined around providing a shared data model, instead of ad-hoc requests. “

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Honeydew has made Vermont Information Processing’s complex strategic data warehouse significantly more accessible. We’re now able to get to the data we need faster, eliminating repetitive SQL coding and empowering our teams. This foundation is a key enabler for our AI initiatives.

SQL will never die

We believe that semantics should live in the data warehouse. A shared truth starts with a shared language – for people, for tools, for data transformation. We build a semantic layer with SQL at its heart.