Glean
Enterprise search and AI assistant across company knowledge and work apps
About Glean
Glean is one of the strongest names in enterprise search. It connects to a large set of workplace tools, respects permissions, and uses company context to surface answers, experts, and related work. Glean has expanded from search into a broader Work AI platform with assistant, agents, and actions. It is a serious choice for organizations that want a security-aware knowledge layer across many apps.
Platform details
- Pricing: Custom enterprise pricing, sales-led. Ballpark reports put the base license around $50-75+ per user per month with a roughly 100-seat minimum (about $60,000/year ACV floor), plus a Work AI agents add-on around $15 per user per month.
- Founded: 2019, Palo Alto, California
- Funding: $7.2B valuation after a $150M Series F in June 2025; $765M+ raised in total across 6 rounds.
- Last reviewed: 2026-04-17
Official website
What Glean is built to do
Glean is built around enterprise search: find the right document, the right person, and the right answer quickly. The product has expanded into Glean Assistant and Glean Agents, but the core narrative is still about turning distributed company knowledge into fast, permissions-aware answers that employees can trust. That makes Glean a strong fit for companies with lots of internal documents, multiple SaaS apps, and a real need for secure retrieval across teams.
Where Glean is strongest
Glean is strongest when the buyer wants enterprise search as a category, not a generic chatbot. Their product story is polished, permission-aware, and designed for large organizations that already live in Slack, Google Workspace, Confluence, Jira, and similar systems. That story is landing financially too: reported annual recurring revenue roughly tripled from about $208M at the end of 2025 to around $300M by mid-2026, evidence that large enterprises are paying for the category, not just piloting it. If your main job is helping employees find the right answer faster, Glean has the right shape for that problem.
Where Sistava is stronger
Sistava goes beyond answer retrieval. It can ingest knowledge, remember it, answer questions, and then push the outcome into tasks, follow-up, approvals, and other workflow steps. That means the assistant behaves more like a worker than a search box. Sistava also keeps that knowledge inside a broader AI workforce model, so your knowledge assistant can coordinate with sales, support, ops, and executive roles instead of sitting beside them as a separate tool.
Comparison
- Compare Glean with Sistava — See the two platforms side by side when you are ready to evaluate them.