Best Glean Alternative: Coworker for Enterprise Teams
The best Glean alternative for enterprise teams is Coworker.ai. Glean is a strong enterprise search and assistant platform that has added agents. Coworker is built agent-first: it pre-synthesizes your org context in the background so agents proactively update CRMs, flag risks, and move work forward, across 50+ tools, with a dedicated onboarding team.
Last updated: October 2026
3 tool requests
Meeting transcript
Extracted 4 action items from Acme call
Salesforce update
Stage → Discovery Complete, notes added
Follow-up draft
Recap email with POC timeline composed
Reasoning steps
What makes Coworker different
Organizational memory vs. connector-based search
Coworker
OM2 builds a living knowledge graph across 120+ dimensions, mapping relationships between people, accounts, and decisions. Agents get pre-synthesized understanding, not just document retrieval.
Glean
Indexes your tools into a hybrid search index plus an Enterprise Graph and personal graphs that Glean precomputes and keeps refreshed. Very strong at finding and citing documents across many sources.
Side by side
See it on your own tools
Comparing Glean and Coworker?
Book a 20-minute demo, or get a free Context Impact Report: we run your team's questions through your current setup and through Coworker, then score every answer blind.
The ROI calculation was straightforward. We just needed to save two to two and a half hours per month per person to break even. We exceeded that in the first few weeks.

Marcin Safranow
VP IT Operations, Huuuge Games
Enterprise-grade security, from day one
SOC 2 Type II
Audited annually, report on request
Hosted locally
Your memory stays in your region. Open-source models run in the US.
Isolated, single-tenant
In our cloud or your VPC
Never trains on your data
No model provider, closed or open source
Your permissions, enforced
The access already set in Salesforce, Slack, Jira and Drive
Also included
FAQ
Frequently asked questions
Both platforms now offer AI agents and write actions. The key difference is approach: Glean started as enterprise search and added agents on top. Coworker was built agent-first with OM2 organizational memory. Both now have native meeting notes; Coworker's notetaker also runs the post-meeting actions automatically.
Glean does not publish public pricing; it is quote-based and enterprise-focused. Its Enterprise Flex model combines a per-user seat with pooled usage credits. Buyer-reported contracts on Vendr have a median of about $99,000 a year (range roughly $30,000 to $209,000), and minimums are often 100 to 250 users. For Coworker pricing, book a demo.
The most common Glean alternatives are Coworker, Guru, Microsoft Copilot, and Dust, alongside traditional enterprise search tools. The right choice depends on whether you need search only or agents that take action across your tools. Coworker is agent-first with OM2 organizational memory and native meeting intelligence, making it a strong fit for teams that want work done, not just answers.
Yes. Glean launched Glean Agents in February 2025 with a no-code builder. Its agents can run on a schedule or when content changes, and use native actions (85+ added in January 2026) plus MCP tools. Both platforms can automate workflows. Coworker differentiates with OM2 organizational memory, meeting notes that run the follow-ups, and faster deployment.
Coworker deploys agents working for you in minutes and completes full setup in 2-5 business days. Our onboarding team handles integration setup so your team sees results immediately. Both platforms can run in parallel during transition.
Yes. Both offer MCP servers that work with Claude, Cursor, and other MCP-compatible tools. Coworker's MCP server supports direct agent invocation, letting you trigger workflows from any MCP client. Glean can also expose agents as MCP tools, but only agents with no write tools and no human approval steps.
Yes. Coworker is SOC 2 Type II certified, GDPR compliant, and CASA Tier 2 verified. Backed by $13M in seed funding, Coworker is built for production use. All data respects existing permission models, is encrypted at rest and in transit, and is never used to train AI models. Enterprise customers get SSO, RBAC, and dedicated security review.
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