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The home for shared data logic
The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow. Using Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.
Honeydew provides a semantic layer that unifies business logic and context into a shared source of truth for data, enabling correct AI and BI interactions. It enforces governance, versioning, and security while connecting multiple AI interfaces and BI tools to a common data model.
Honeydew turns a data warehouse into a living semantic layer. It allows teams to define governed business logic and metadata, which is then compiled into correct, governed SQL for queries from any AI interface or BI tool. It features a collaborative workflow to add context and logic, a deterministic semantic compiler for consistent results, agentic semantic memory for AI actions with guardrails, and enterprise security with identity propagation, RBAC, Git-based governance, and native SOC 2 controls. The platform integrates with Snowflake and supports multiple BI/AI interfaces, with a Git-driven, version-controlled change process and 14-day free trials.
Who it’s for: Mid-size to large data-driven organizations that use multiple BI and AI tools and require a single source of truth for data models and business logic, with governance and security needs.
Customers: Pizza Hut, Vermont Information Processing
SaaS pricing with 14-day free trial; customer logos and enterprise-ready features; SOC 2 Type II certification mentioned; multiple product tiers indicating growing enterprise traction
My last 20 years are in and around data and software. At the first startup I founded, Varada (acq. by Starburst), we created an acceleration engine for data lakes - helping queries run faster on huge amounts of data. Before becoming a founder, I was an early employee at XtremIO (later EMC) - which became the market leader in all-flash-storage. Even before that, I was a computer science and physics nerd. Still am. I live in Tel Aviv with my wife and two kids.
I have been in software for over 20 years, leading technology and engineering, and building products around data. I was the first employee of Implisit, building AI for sales. After being acquired by Salesforce, I led the architecture and engineering of Einstein for Sales. My passion is traveling, cycling and finding simple solutions for complex problems. I live in Tel Aviv, with my wife and 2 daughters.
In my previous life, I worked as a script writer (and even won first prize for best drama feature), I pivoted and decided to "produce" my scripts in real life by opening a startup. At my first startup, Awear, we did "Frequent-Flyer for fashion" - We sold data to fashion companies showing how people are actually wearing their garments. Currently living in Tel Aviv with my husband and our two kids - Orr and Eyal.
We help data teams achieve consistent metrics like Revenue or Churn
Honeydew offers a shared source of truth for data teams living in the data warehouse, organizing analytics into reusable blocks of logic and a workflow to maintain consistent KPIs (e.g., DAU, churn, ARR). It connects to Snowflake and outputs to SQL, Tableau, Looker, Python, or dbt, aiming to ensure a single, current truth across data tools.
From the original launch (Mar 2023) — may be outdated.
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