Glean carries a $4.6 billion valuation after its $260 million Series D funding round. The company, founded in 2019 in Palo Alto by former Google search engineers, employs over 850 people globally. Its valuation reached $7.2 billion after a $150 million Series F round led by Wellington Management. This investment included participation from Sequoia Capital, Kleiner Perkins, Khosla Ventures, and Bicycle Capital. Glean reached over $100 million in annual recurring revenue less than three years after launch. The platform serves companies like Booking.com, Databricks, and Deutsche Telekom. Glean connects to 100 plus enterprise applications including Salesforce, GitHub, and Zendesk. Because Glean pulls each source’s permissions at index time and checks them at query time, users only ever see the documents they are authorized to access during their daily search tasks without any risk of unauthorized exposure. Users should keep in mind that chat results from the AI may not be fully accurate. I see that users average five daily queries and 40 percent of the workforce accesses the platform every single day. This usage rate is double the standard for enterprise software. The platform processes more than 100 million agent actions annually after the launch of Glean Agents in early 2025. The company aims to reach one billion agent actions by the end of the year. Glean also received recognition from Fast Company as one of the Top 10 companies for AI in 2025.
Automating Knowledge in Slack
Glean works inside Slack to recap conversations and find needed information. You must have a paid Slack Plan to use the Assistant view. I find that manual updates make the tool less useful. You can use Zapier to automate how knowledge moves into Glean through various workflows. You can trigger Glean API requests when a new board appears in monday.com or when a new list appears in ClickUp. If your team uses Asana, you can send an API request to Glean whenever a new project is created. For those using Todoist, a search triggers when an incomplete task is added. You can also automate Glean searches from Google Forms, Chatbase, or WPForms submissions. When a user submits a form, a Zap can search Glean for related information and send the result to an email or a chat. If you use Notion, adding an item to a database creates a corresponding data piece in Glean. You can also trigger Glean searches whenever a new document appears in a Google Docs folder or a new file is added to Google Drive. For users of Airtable, a new or updated record can trigger a search in Glean. For task management, you can search in Glean for new or updated records in Airtable. You can even search in Glean for a Jira issue like "Investigate login timeout bug" or an Asana task like "Write Q3 recap". I wonder if these automated workflows can keep up with the speed of a growing company?
Pricing and Competitor Comparisons
The per-user pricing for Glean typically falls between 40 and 80 dollars per month. This cost makes the tool a bad fit for small companies. I find that Glean struggles to provide accurate responses to complex, context-heavy queries. The software also lacks strong connectors for Korean and Japanese enterprise tools such as Channel Talk and Cybozu Garoon. If you are comparing it, you must weigh the cost against your internal resources. If you work in a Microsoft-centric organization, Microsoft 365 Copilot is a more natural choice at 30 dollars per seat per month.
| Tool | Best Use Case | Estimated Monthly Cost |
|---|---|---|
| Glean | Large enterprise search | $40 – $80 per seat |
| Microsoft 365 Copilot | Microsoft-heavy stacks | $30 per seat |
| Slack AI | Slack channel summaries | $10 per seat |
| Atlassian Rovo | Atlassian ecosystem users | $20 per seat |
| Guru | Curated knowledge cards | $25 per seat |
For teams using Atlassian products, Atlassian Rovo provides search for Jira, Confluence, Bitbucket, and Trello data. For support and IT teams that want a maintained internal answer base, Guru is a cheaper option at 25 dollars per user per month. Perplexity serves a different purpose by merging internal company data with external web sources. While Glean focuses on internal repositories, Perplexity delivers information through a conversational format that provides real-time citations. For organizations needing high-scale relevance across commerce and service, Coveo is a mature option from a Canadian company.
