TL;DR: Quick Comparison
Feature Area | Marzo AI | Glean |
Core Function | Proactive coordination intelligence that delivers your Daily Brief, Follow Updates, Pre‑Meeting Intel, and cross‑tool source‑linked answers. | Enterprise AI search & knowledge graph: unified search across docs, chats, code, and more. |
Primary Use Case | Engineering teams needing to eliminate coordination overhead—spending less time in meetings, chasing context, and hunting for decisions, and more time buildin | Organizations needing to index and search large volumes of internal data—documents, chats, repos. |
Scope | Slack, Google Meet/Calendar, GitHub, Jira/Linear + Org chart → surfacing what matters to you. | Wide‑ranging connectors: documents, chats, cloud storage, code, multiple business functions. |
Meeting & Workflow Focus | Captures context via browser extension & metadata; provides prep + follow‑up; proactively surfaces what matters. | Focus primarily on search/retrieval across data; less about meeting skipping or proactive briefs. |
Personalization & Role‑Based | High: tailored to you based on your role, team, projects, and behaviors (mute/follow). | Strong search personalization, but oriented around retrieval not proactive coordination. |
Best When | Your team is drowning in meetings, chasing context, and constantly surprised by missed decisions or slipping deadlines | Your enterprise has dispersed knowledge across many systems and needs a “Google‑for‑work” platform. |
Can They Be Used Together? | Yes—common use case: Glean captures broad knowledge; Marzo reduces coordination tax and decides what matters. | Yes—same logic. But many engineering teams find Marzo alone covers their pain. |
What Problem Does Each Tool Solve?
Glean
Glean is designed to unify your company’s data so you can “ask a question and get an answer.” Its strength lies in indexing conversations, documents, code, chats, and more—then letting you search or ask for what you need.
It’s ideal when your pain is: “We can’t find anything,” or “Our knowledge is so spread out we can’t keep up.”
Marzo AI
Marzo AI is built for engineering teams facing coordination overhead: too many meetings, too much context‑hunting, too many surprises.
It gives you:
A Daily Brief each morning with only the decisions, risks, and blockers that matter to you.
Follow Updates for meetings you skip—so you don’t lose out when you’re not in the room.
Pre‑Meeting Intel so you show up prepared, not sweating “what did we decide last time?”
An Assistant you can ask: “Why was this shifted to Q4?” or “What’s blocking the release?” and get answers with source links—across Slack, GitHub, Jira, Calendar.
In short: it’s not just about finding what’s in your data—it’s about getting what matters out of your data.
Inputs → Processing → Outputs
Dimension | Marzo AI | Glean |
Ingested Data | Slack threads, Google Meet captions/metadata, Calendar events, GitHub PRs, Jira/Linear tickets, Org chart | Documents, Google Drive, Slack/Teams chats, code repositories, databases, many connectors |
Processing | Extract decisions, commitments, risks, deadlines, team assignments; personalize by role & behavior | Index & graph data; semantic search; personal + enterprise knowledge graph |
Presented Output | Daily Briefs, Follow Updates, Pre‑Meeting Intel, cross‑tool Q&A, decision/commitment logs | Search results, assistant responses across all indexed content |
Personalization | Deep: based on role, projects, and your feedback (Done, Mute, Follow) | Personal search + recommendations; less focus on proactive briefs |
Primary Value | Reduce meetings, avoid context‑hunting, spend more time building | Find the info you need quickly and easily |
Pricing & Setup Comparison
Pricing
Marzo AI: Transparent pricing. Self‑hosted/VPC option available.
Glean: Enterprise pricing; requires a sales engagement and contract. Minimum seats and higher entry cost for smaller teams.
Winner for small‑to‑mid engineering teams: Marzo AI (less friction, lower commitment)
Winner for large enterprise engaged in org‑wide knowledge management: Glean (when budget and scale justify it)
Setup & Implementation Time
Marzo AI: Setup in 10‑15 minutes. Connect Slack, GitHub, Jira, Google Meet/Calendar. See value from Day 1; deeper personalization in 1‑2 weeks.
Glean: Setup time ranges from days to weeks depending on connectors, data volume, and indexing. Full value may emerge over several weeks.
Winner for fast‑time‑to‑value: Marzo AI
Team Size Sweet Spot
Marzo AI: Sweet spot around 10‑200 engineers, though it can scale. Best for fast‑moving engineering orgs.
Glean: Best fit for 500‑10,000+ employees, multi‑department organizations, broad data silos.
Winner depends on size & scope.
Real‑World Scenarios
Scenario 1: “Where did we decide to move the API to Q4?”
With Glean: Search “API Q4 decision,” sift through several results, open doc or thread, read hours of discussion.
With Marzo AI: Daily Brief surfaces the decision automatically, or ask, “Why was API moved to Q4?”—get instant answer with source link.
Scenario 2: “I missed the architecture review—what do I need to know?”
With Glean: Search for meeting notes, find transcript, read full summary, figure out relevance to you, follow‑up with team.
With Marzo AI: Receive Follow Update after meeting—see 2‑3 personalized highlights that affect your work. Click to dive deeper if needed.
Scenario 3: “What’s blocking our release?”
With Glean: Search across Slack, Jira, GitHub manually, piece together blockers and follow‑up with team.
With Marzo AI: Your Daily Brief shows blockers automatically, or ask, “What’s blocking the release?”—get answer with owners and sources.
FAQ
Does Marzo AI have the same integrations as Glean?
No. Glean connects to 100+ apps (Salesforce, Confluence, Notion, etc.). Marzo focuses on core engineering tools: Slack, GitHub, Jira/Linear, Google Meet/Calendar. If your pain is deep knowledge search across the org, Glean’s breadth may matter; if your pain is engineering coordination, Marzo’s focus is an advantage.
Can Glean replace Daily Briefs and Pre‑Meeting Intel?
Not natively. Glean is search‑first—you ask the questions. Marzo is delivery‑first—it brings what matters without you asking.
Which tool is easier to set up for engineering teams?
Marzo AI—designed for engineering teams using Slack, GitHub, Jira/Linear and Google Meet—so you’re frequently seeing value in days. Glean offers broader scope and power, but typically requires more setup investment.
Which is better for remote and distributed teams?
Marzo AI is specifically built for remote/distributed engineering orgs where context gets lost across time zones and async work grows. Its proactive model (Briefs, Follow Updates, Pre‑Meeting Intel) reduces “who missed what?” pain. Glean helps with remote search, but you still need to seek the information yourself.
What about security and compliance?
Both tools are enterprise‑grade. Marzo AI offers single‑tenant or VPC deployment options. Glean is trusted by large enterprises and typically comes with enterprise sales and contracts.
Which tool provides faster ROI?
Marzo AI typically delivers direct, measurable ROI by reducing meeting load, improving alignment, and saving engineering time. Glean’s ROI is valuable but often harder to quantify (productivity improvements rather than time savings).
Can I get the benefits of both tools by just picking one?
For most engineering teams (10-200 people), Marzo AI alone solves the core pain of coordination overhead and context-chasing. You get both the proactive intelligence AND the ability to ask questions across your tools.
For large enterprises (500+ employees) with knowledge across many departments and 10+ systems, Glean's broader search capabilities may be necessary. However, many engineering-focused teams find that Marzo's targeted approach covers their needs without the complexity of an enterprise search platform.
Quick Decision Matrix
Your Situation | Choose Marzo AI | Choose Glean |
You have <200 engineers and use Slack + GitHub + Jira/Linear | ✅ |
|
You have >500 employees across many departments and need org‑wide search |
| ✅ |
Your biggest pain is time and effort spent coordinating | ✅ |
|
Your biggest pain is scattered documents and missing knowledge |
| ✅ |
You want ROI in ≤1 week | ✅ |
|
You're willing to invest weeks in setup and indexing |
| ✅ |
You prefer transparent, modular pricing | ✅ |
|
You need to search across sales, marketing, HR, legal, and engineering data |
| ✅ |