Luffy vs Glean

The short comparison

Search is useful. Finished work is better.

Luffy is an AI employee that lives in Slack. You can tag it in a channel, give it a task, and let it look across the tools your company already uses. It can prepare a morning leadership brief, research and enrich new leads, update your CRM, find deals that are going stale, draft follow-ups, or run a recurring workflow on a schedule.

The important distinction is that Luffy does not stop at an answer or a list of links. It uses the context of your workspace to produce something the team can review and act on. That is the difference between asking “where is this information?” and asking “can you take care of this and bring me the result?”

Luffy also has a shared company memory. It remembers projects, conversations, documents, and past decisions, so the team does not have to rebuild the context from scratch every time. That living memory is what makes a Slack request useful even when the work crosses several applications. You can read more about the idea in our guide to building a company brain.

Glean is built around enterprise discovery

Glean has grown beyond a simple search box. Its platform now includes an assistant, agents, actions, and model options. Still, the foundation is enterprise discovery: connect a large software estate, bring its content and permissions into a searchable context layer, and help employees find and use that information.

That is a sensible model for a large organization with information spread across Google Drive, Slack, Salesforce, Jira, Confluence, email, and many other systems. When the main question is “what does the company know, and can every employee find the right answer?” Glean belongs on the shortlist.

The difference is the starting point. Glean starts with a company-wide information layer and adds work capabilities on top. Luffy starts with a team conversation and an assigned piece of work, then gathers only the context needed to finish it.

The architecture difference: index everything or access the source when needed

Glean’s standard connector model crawls company sources and creates an index. Its setup documentation describes fetching content, metadata, and permissions, then processing that information into the Glean index and Knowledge Graph. That approach is what makes broad search fast, but it also creates another representation of your company data that has to be stored, permissioned, synchronized, and kept fresh.

That extra data layer can be the right trade-off for enterprise search. It is still a trade-off: more infrastructure, more synchronization work, and another place to govern. The larger the connected software estate, the more important those costs become.

Luffy takes a different route. It uses protocols such as MCP to access approved systems when a workflow needs them, rather than building a second company-wide copy just to make information searchable. That means less data duplication, less data movement, and a simpler path for a team that wants to get work done across live tools. The source permissions and plugin controls still matter, but the architecture starts with scoped access instead of a new central index.

This is one of the reasons Luffy can be much cheaper for a mid-market team. You are not paying to recreate your entire data estate before you can ask an AI employee to complete a useful task. You are giving it the connections and access it needs for the work you want done.

Setup: self-serve versus an enterprise rollout

Glean is sold as an enterprise platform. Its public site leads with a demo, and its setup flow involves connecting data sources, configuring permissions, starting crawls, and waiting for sources to become indexed. That makes sense when IT, security, and data owners all need to be involved. It is also why a small team should expect more waiting and coordination before the system is ready to use.

Luffy is self-serve. A team can get started in about 30 minutes, connect the tools it needs, and try a real workflow with $1,000 worth of free usage. You also get a dedicated relationship manager who helps with onboarding, customization, and the questions that come up once the first workflow is live.

That support matters. A self-serve product does not mean a team is left alone. With Luffy, there is a person who understands your setup and can help turn “we want AI to help with sales operations” into a working set of tasks.

Pricing: pay for the team’s work, not every seat

Glean uses a seat-based enterprise model. The usual figure is around $90–$100 per person per seat, so the bill grows with the number of employees who need access, whether or not every person uses the product heavily.

Luffy is usage-based. The whole team can get started for $250, and you add credits as the team’s usage grows. That is a better match for a team that wants to automate a few high-value workflows first instead of buying a seat for every employee on day one.

Luffy also gives teams $1,000 worth of free trial usage. That makes it possible to test actual reports, research, CRM updates, follow-ups, and recurring operations before committing. The fairest comparison is not the price of one prompt; it is the cost of getting a real workflow from request to reviewed result.

A Slack employee feels different from another place to search

Glean can be used through its web experience, browser extension, and Slack integration. That is useful when an employee wants to search, ask a question, or share a result. But the center of gravity is still an individual search or assistant interaction.

Luffy is an employee inside the Slack conversation. A teammate can tag it in a thread, another teammate can add context, and everyone who needs to review the result can see the same work develop in one place. That multiplayer model is especially useful for account research, leadership updates, project coordination, and any task where the final answer needs to be shared rather than kept in one person’s browser tab.

The difference is not simply “web versus Slack.” It is whether AI is treated as a private answer engine or as another participant in the team’s operating rhythm. Luffy is built for the second model.

Security and control still matter

Glean’s enterprise approach includes permission-aware indexing and governance controls. That can be valuable for organizations that need a formal information layer. It also means securing and maintaining a second system that contains indexed company content and permissions.

Luffy is security-first. Its data is stored in an isolated system, its plugins are designed to be safe, and it is CASA Tier 2 approved. Because Luffy can use live, scoped connections instead of duplicating the entire workspace, there is less company data to replicate and manage. Read the full Luffy security and compliance overview for the controls behind that model.

How to compare them fairly

Glean now supports agents and actions, so this should not be framed as “search versus no execution.” Give both products the same real assignment: prepare an account brief from the CRM and recent conversations, draft the follow-up, and put the result in front of the owner.

• How long does it take to reach a useful first result?
• How much setup is required before the task can run?
• Does the result arrive where the team already works?
• Can a teammate add context or correct the work in the same thread?
• How much does the workflow cost at the volume you actually expect?

That test will make the product difference obvious. Glean may win when the company needs a broad, governed discovery layer. Luffy may win when a team needs an AI employee that can take a request, use the right systems, and finish the work without creating another destination for collaboration.

Which one should you choose?

Choose Glean when your primary need is enterprise-wide search, permission-aware discovery, and a formal Work AI platform for a large software estate. It is built for organizations that are ready to connect and govern a lot of company information in one place.

Choose Luffy when your team wants an AI employee in Slack that remembers the workspace and gets work done across your apps. It is self-serve, starts at $250 for the whole team, includes a $1,000 free trial, uses a usage-based model, supports multiplayer work in threads, and comes with a dedicated relationship manager.

For SMBs and mid-market teams, that focus is the point. You do not need to index your entire company before you can get value. You can start with one workflow, see the result in the conversation where the work began, and expand from there.

Continue the work

• Understand the shared memory behind useful AI work
• Turn scattered knowledge into completed work
• Make Slack the place work moves forward
• Compare Luffy with another Slack-native AI approach
• Choose a practical AI stack for a growing team

Sources used in this guide

Luffy security and compliance overview; Glean’s Work AI product overview; Glean documentation for connecting and indexing data sources; Glean connector overview; Glean documentation for its Slack bot; Glean documentation for agent actions; Glean end-user quick start guide.