WorkClaw vs. Glean: AI Teammates vs. Enterprise Search
WorkClaw and Glean both claim to be your AI coworker — but they solve fundamentally different problems. One retrieves knowledge; the other takes action. Here's how to choose.

WorkClaw vs. Glean: AI Teammates vs. Enterprise Search
If you're comparing AI tools for your team in 2026, WorkClaw and Glean will almost certainly appear on the same shortlist. Both are positioned as AI platforms that help employees work smarter. Both integrate with the tools your team already uses. And both use the word "AI coworker" somewhere in their marketing. But these products are solving meaningfully different problems, and choosing the wrong one creates a gap that's hard to close later.
This comparison breaks down what each platform actually does, where each one excels, and how to decide which approach fits your organization.
What Glean Is Built For
Glean started as an enterprise search engine and grew into a broader AI work platform. The core insight behind Glean is permissions-aware search: a single AI layer that can pull information from across your entire company's tools while respecting each person's access controls. Founded by ex-Google Search engineers, the company hit $100M ARR in three years and a $7.2B valuation by 2025, making it one of the fastest-growing enterprise AI companies on the market.
At its heart, Glean builds a company knowledge graph by connecting to 100+ enterprise applications including Salesforce, Jira, Confluence, Slack, Google Workspace, and Microsoft 365. When you ask Glean a question, it retrieves context from all those systems simultaneously and synthesizes an answer grounded in your company's actual data. That permissions-aware retrieval is Glean's primary technical differentiator.
Glean has expanded beyond search into a broader "Work AI Platform" that includes Glean Assistant (a chat interface for answering questions and drafting content), Glean Agents (a builder for creating custom AI agents), and an API for developers building on top of the Glean platform. The company's positioning has shifted from "enterprise search" to a full work AI system, though search and knowledge retrieval remain its strongest capabilities.
What WorkClaw Is Built For
WorkClaw takes a fundamentally different approach. Rather than building a retrieval layer over your company knowledge, WorkClaw creates named, persistent AI agents, called Claws, that live in your Slack or Microsoft Teams workspace and function as actual team members. Each Claw has a defined role, a name, its own set of app connections, and a personality tuned to your team's communication style.
A WorkClaw agent doesn't just answer questions. It receives Slack mentions, reads context from previous conversations, takes multi-step actions across connected apps, drafts and sends communications, updates records in your CRM, creates calendar events, and proactively reaches out when certain conditions are met. The agent model is persistent, meaning a Claw remembers prior conversations and builds working context about your team over time.
WorkClaw provides 3,000+ native app connections and supports thousands more through custom connections and MCP servers, giving each Claw the breadth to take action across virtually any tool your team uses. Because Claws live inside Slack, there's no new interface to adopt: your team works with AI the same way they work with each other.
The Core Difference: Retrieval vs. Agency
The most important distinction between these platforms isn't features, it's philosophy.
Glean is optimized for knowledge retrieval. It excels when your problem is "we have information scattered across dozens of systems and people can't find what they need." Glean's hybrid search, company knowledge graph, and permissions-aware retrieval are genuinely impressive, and for organizations where institutional knowledge is hard to surface, Glean can dramatically reduce the time employees spend searching for information.
WorkClaw is optimized for taking action. It excels when your problem is "we have tasks and workflows that require judgment, context, and multi-step execution across different tools." A WorkClaw Claw can handle a new customer request from start to finish: reading the inbound message, checking the CRM, drafting a response, scheduling a follow-up, and notifying the right team member, all without a human touching it.
These are different bets on what AI is most valuable for in the workplace. Neither is wrong. But they lead to very different products.
Features Side by Side
Glean's strongest features cluster around knowledge: semantic search across company data, AI-generated answers with citations, a company knowledge graph, proactive "activity cards" that surface what's changed and what needs attention, and an agent builder for creating custom workflows. The platform supports 15+ LLMs and offers a developer API with SDKs in four languages. Glean also includes governance and analytics tooling designed for enterprise IT, including usage reporting and data access controls.
WorkClaw's strongest features cluster around execution: named AI agents that live in Slack or Teams, a library of pre-built role-based agent templates (from marketing copilots to engineering assistants), 3,000+ native app connections for taking action across tools, memory and context that persists across conversations, and team-level management so admins can deploy and configure agents for different departments.
Both platforms work in Slack. Glean offers a Slack integration that lets employees ask questions through a bot. WorkClaw's Claws are Slack-native, meaning they respond to mentions, participate in threads, and function as full channel members.
Pricing and Accessibility
Glean does not publicly list pricing. Like most enterprise software at its scale, pricing is negotiated, tied to seat counts, and typically involves a substantial annual contract. The company introduced "Enterprise Flex" pricing in 2025, which combines per-user licensing with credits for advanced AI feature usage, but the base price per seat remains opaque. Most reports from buyers suggest Glean is a significant investment, appropriate for larger organizations with enterprise IT procurement processes.
WorkClaw is designed for teams of all sizes, with transparent pricing tiers that scale from small teams to large organizations. Because Claws are role-based rather than per-user search licenses, the pricing model is aligned with how many AI agents your team deploys rather than how many employees have access to a search interface.
When to Choose Glean
Glean is the right choice when your primary challenge is knowledge accessibility and retrieval at enterprise scale. If you're a large organization where employees regularly struggle to find the right document, pull context from multiple systems, or get reliable answers to complex internal questions, Glean's knowledge graph and permissions-aware search can make a real difference.
It's also worth considering if you have strong requirements around enterprise governance, security compliance, and IT controls. Glean has invested heavily in the security and audit tooling that large enterprises expect, and the platform has a track record with Fortune 500 customers. If your procurement process requires specific compliance certifications and IT-friendly deployment options, Glean is mature in those dimensions.
When to Choose WorkClaw
WorkClaw is the right choice when your team needs AI that does things, not just answers questions. If the bottleneck isn't finding information but acting on it, and if the people on your team spend time on tasks that require judgment and tool access but not necessarily deep expertise, WorkClaw is built for exactly that workflow.
WorkClaw is also a better fit for teams that want to avoid adding another application to their stack. Because Claws live in Slack or Teams, there's no portal to log into, no new interface to learn, and no behavioral change required from non-technical team members. The AI meets people where they already work.
For smaller and mid-sized teams, WorkClaw's transparent pricing and fast deployment also make it more accessible than Glean, which typically requires enterprise procurement cycles and larger minimum commitments.
The Bigger Picture
The enterprise AI landscape in 2026 is fragmenting into distinct categories, and WorkClaw and Glean represent two of the most important ones. Glean is building the "enterprise knowledge layer," a foundation for making company information accessible and retrievable at scale. WorkClaw is building "the AI team," a layer of persistent, action-taking agents that collaborate alongside human employees.
For many organizations, these aren't mutually exclusive. A team could use Glean for internal search and knowledge management while using WorkClaw for specific role-based automation and agent workflows. But if you're looking to pick one platform that does the most for your day-to-day work, the choice comes down to what your team actually needs more: better access to knowledge, or better execution of tasks.
Frequently Asked Questions
Can Glean and WorkClaw be used together? Yes. Many organizations use multiple AI tools that serve different functions. Glean specializes in knowledge retrieval and search, while WorkClaw focuses on action-taking and workflow execution. They can coexist without overlap.
Does Glean work in Slack? Glean has a Slack integration that lets employees query the Glean knowledge graph from within Slack. WorkClaw's agents are Slack-native, meaning they participate in channels and threads as full team members rather than as a query interface.
Is WorkClaw only for large enterprises? No. WorkClaw is designed for teams of all sizes, with pricing that scales from small teams to large organizations. Glean is more typically deployed in larger enterprise environments due to its pricing model and procurement requirements.
What kind of tasks can WorkClaw agents actually perform? WorkClaw agents can take multi-step actions across connected apps: updating CRM records, drafting and sending emails, creating calendar events, pulling reports, processing inbound requests, notifying team members, and more. The specific capabilities depend on which apps the agent is connected to.
How does Glean handle data security and permissions? Glean's permissions-aware retrieval is one of its core differentiators. When a user queries Glean, the results are filtered by that user's existing access permissions in each connected system, so employees can't see content they don't have access to through the underlying apps.
Is WorkClaw suitable for non-technical teams? Yes. WorkClaw is specifically designed to be used by non-technical team members through Slack. Configuring and deploying Claws requires minimal technical knowledge, and team members interact with agents through normal Slack conversations.