Total raised
—
Last: Seed 2020-01
Stage
Seed
Founded
2017
Headcount
1
HQ
Tel Aviv-Yafo
Sector
Business Software
About
Glean Labs is developing an automatic competency mapping solution that provides businesses with visibility into precisely who knows what, who does what, and who is skilled at what in the organization. The company's solution is designed to increase employee retention, productivity, and engagement.
Funding history · 1 round · — total
2020-01
Seed
Undisclosed
Company Intelligence Q&A
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- What is Glean Labs' primary focus?
- Glean Labs is developing an AI-powered automatic competency mapping solution for businesses. This solution aims to provide visibility into employee skills and knowledge within an organization.
- When was Glean Labs founded?
- Glean Labs was founded in November 2017.
- Where is Glean Labs headquartered?
- Glean Labs is headquartered in Tel Aviv-Yafo, Israel.
- What is Glean Labs' current funding stage?
- Glean Labs is currently in the Seed funding stage.
- When did Glean Labs complete its last funding round?
- Glean Labs completed a Seed funding round in January 2020.
- Which investor participated in Glean Labs' Seed round?
- Mangrove Capital Partners was an investor in Glean Labs' Seed funding round in January 2020.
- How many employees does Glean Labs have?
- Glean Labs has between 1 and 10 employees.
- Who are the founders of Glean Labs?
- The founders of Glean Labs are Arik Waldman, Jiri Tobisek, and Gilad Grushka.
- What technologies does Glean Labs utilize in its solution?
- Glean Labs utilizes Artificial Intelligence and Machine Learning in its competency mapping solution.
- What was a significant development for Glean Labs reported in February 2026?
- In February 2026, Glean Labs' CEO Arvind Jain discussed the company's shift from an enterprise search tool to a middleware layer for enterprise AI, as reported by TechCrunch.
Sectors & technology
Primary sector
Business Software
Sub-sectors
Business SoftwareOperations SolutionsHuman Resources Management
Technologies
Artificial IntelligenceMachine Learning
Target customers
Enterprise & Professional Services
Business model
B2B
Highlights
Verified
Tags
software-applicationsenterprise-solutionsbig-dataknowledge-technologybig-data-analyticsproductivityhr-techartartificial-intelligenceemployee-engagementmachine-learninghr