Honeydew GTM brain

Honeydew provides a governed semantic layer that helps data teams deliver consistent business metrics to BI tools and AI agents.

category

Semantic layer for analytics and AI

market profile

  • text: Enterprises need shared metric definitions across dashboards, spreadsheets and AI interfaces.
  • text: Standalone semantic layers compete with BI-native and open-source modeling approaches.

personas

  • title: Head of data and analytics
    pains:
    • Conflicting metric definitions erode trust across BI tools.
    • The data team spends time answering repetitive ad hoc requests.
  • title: Analytics engineer
    pains:
    • Maintaining duplicated business logic across tools causes drift.
    • Model changes need review, version control and safe deployment.
  • title: Enterprise AI or data platform lead
    pains:
    • Unconstrained text-to-SQL can produce inconsistent answers.
    • AI data access must respect existing governance and permissions.

icp

  • text: Organizations with a cloud data warehouse and multiple BI tools or AI interfaces consuming shared metrics.
  • text: Small data teams through enterprises, especially teams using Snowflake and Power BI or Tableau.

message pillars

  • text: Unify business logic for AI and BI.
  • text: Compile governed queries from a shared model.
  • text: Keep data and governance in the warehouse.

objections

  • objection: Our BI tool already has its own semantic model.
    response: Pilot one contested metric across two existing tools and compare maintenance and consistency.
  • objection: Another layer will increase cost and migration effort.
    response: Scope a limited domain and assess the platform fee, user count and active objects before rollout.
  • objection: AI access may expose sensitive data.
    response: Evaluate identity propagation, role-based controls and deployment options against your access requirements.

competitors

  • name: Cube
    why: Offers a semantic layer shared across analytics consumers.
  • name: AtScale
    why: Enterprise semantic layer alternative for governed analytics.
  • name: Kyvos
    why: Competes on a semantic layer for AI and BI.
  • name: Looker
    why: BI-native modeling and metric definitions can satisfy some of the same need.

keywords

  • semantic layer for AI
  • shared metrics layer
  • Snowflake semantic layer
  • governed AI analytics
  • Power BI semantic layer
  • business logic data warehouse
  • metrics consistency

voice

  • Technical and precise
  • Trust and governance focused
  • Confident about consistency

signals

  • text: A company is rolling out AI analytics on top of a shared warehouse.
  • text: Teams use multiple BI tools and report conflicting definitions of core metrics.
  • text: A data organization is hiring analytics engineers to maintain a central data model.

stack

  • Snowflake
  • Power BI
  • Tableau
  • GitHub
  • MCP

pricing

model: seat
starting price: $20/user/month plus platform fee from $500/month

motion

hybrid

channels

  • SEO
  • product documentation
  • blog

confidence

high

Founders

  • name: David Krakov
    title: Founder
    role: Founder
    bio: 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.
  • name: Baruch Oxman
    title: Founder
    role: Founder
    bio: 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.
  • name: Liron Slonimsky-Shemy
    title: Founder
    role: Founder
    bio: 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.

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