Honeydew

Business Intelligence Data Analysis Tool

Business Software
Private
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Company Overview

Snapshot

Founded in July 2022 by David Krakov, Liron Slonimsky, and Baruch Oxman, Honeydew operates with 11–50 employees. The company has secured funding across two rounds from three investors. Its most recent funding round, a SAFE, was completed in July 2025 with participation from Tal Ventures.

Business overview

Honeydew develops a business intelligence data analysis tool designed to enhance collaboration between data consumers and analytics teams. The company's core technology provides a centralized source of accurate information for standardizing metrics, curating data for business users, and reusing logic across various BI dashboards. Honeydew serves enterprise clients, operating within the Business Software sector, specifically focusing on IT, R&D, and Data Solutions, including Software Development Tools, Product Development Tools, and Data Analysis & Decision Support.

Strategic signal

In July 2025, Honeydew completed a SAFE funding round with participation from Tal Ventures. This investment signals continued investor confidence in Honeydew's collaborative data analysis platform and its potential to streamline business intelligence workflows for enterprise clients.

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Company Intelligence Q&A

When was Honeydew founded and by whom?
Honeydew was founded in July 2022 by Co-Founders David Krakov, Liron Slonimsky, and Baruch Oxman.
What is Honeydew's primary focus in the market?
Honeydew focuses on providing a business intelligence data analysis tool that helps data consumers and analytics teams collaborate more effectively by offering a central source of accurate information for various BI applications.
What was Honeydew's most recent funding activity?
In July 2025, Honeydew completed a SAFE funding round with participation from Tal Ventures.
How does Honeydew's tool support data teams?
Honeydew's tool supports data teams by enabling the standardization of metrics, curation of data for business users, and reuse of logic in different BI dashboards through its collaborative and reusable design.
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