Guru vs Glean: Which AI Knowledge Management Tool is Better?

Teams waste countless hours hunting for information scattered across Slack, Google Drive, Confluence, and dozens of other platforms. When comparing knowledge management solutions like Guru and Glean, organizations need to evaluate features, integrations, and Glean pricing to determine which platform truly delivers on connecting workplace knowledge. Both tools promise to streamline searches and eliminate information silos, but their approaches differ significantly in execution and results.

Traditional knowledge bases require employees to remember which platform contains what information and actively search for answers. However, enterprise AI agents take a proactive approach by surfacing relevant information across existing systems before teams even realize they need it, delivering contextual knowledge exactly when it matters most.

Table of Contents

1. What is Guru, and What Does It Offer?
2. What is Glean, and What Does It Offer?
3. Are There Any Similarities Between Guru and Glean?
4. Guru vs Glean: Feature Comparison for AI Knowledge Management
5. Top Alternative to Try, and How It Compares to Guru and Glean
6. Which AI Knowledge Management Tool Should You Choose
7. Book a Free 30-Minute Deep Work Demo

Summary

• Knowledge workers lose nearly 20% of their week searching for information they know exists somewhere in their organization's digital ecosystem. Both Guru and Glean address this by using AI to convert scattered documents, chat logs, and application data into direct answers with source citations, eliminating the endless lists of links that traditional search returns. The platforms embed in daily tools like Slack, Teams, and Google Workspace, turning knowledge management into an ambient infrastructure rather than another destination that requires separate logins.
• Guru operates on a curated library model, where subject-matter experts create and maintain bite-sized knowledge cards with scheduled verification reminders every 30, 60, or 90 days, depending on content type. This deliberate structure forces teams to document what matters and keep it current, building trust through human-verified accuracy rather than algorithmic confidence scores. The Self-serve plan starts at $25 per seat per month with a 10-seat minimum, positioning it as a mid-market solution for compliance-heavy industries where auditability matters more than speed.
• Glean indexes existing content across 100+ enterprise applications without requiring new documentation or publishing workflows, pulling answers from wherever information already lives while respecting permission boundaries. The platform achieved 270M+ Assistant actions in 2025, reflecting how teams now expect AI to synthesize information from Slack conversations, Google Docs, Jira tickets, and Salesforce records simultaneously. This zero-effort setup appeals to large organizations with information spread across many systems, though comprehensive results can require human judgment to assess relevance when the AI pulls from unfiltered sources.
• Verification workflows determine whether teams trust AI responses enough to act on them without double-checking manually. Guru automates accuracy with proactive staleness alerts and duplicate-detection before anyone searches, while Glean enforces permission-aware access and relies on real-time source freshness rather than human-review loops. The distinction matters most when answers trigger downstream actions, as a single incorrect response can condition entire teams to manually verify everything and undermine the efficiency gains the platform promised.
• The gap between finding answers and completing work remains the critical bottleneck that traditional knowledge platforms leave unaddressed. Most tools stop at surfacing the right information, yet someone still needs to synthesize data across systems, make context-aware judgments, and trigger actions in CRM, project management, or communication tools. Enterprise AI agents like Coworker address this by executing multi-step workflows autonomously once they understand what needs to happen, using organizational memory that tracks teams, projects, and evolving decisions to deliver context-rich actions rather than generic search results.

What is Guru, and What Does It Offer?

Guru is an AI-powered knowledge management platform that consolidates company information into a single searchable place. It connects documents, chat logs, apps, and other sources to deliver instant, verified answers within the tools your team uses, eliminating the need to search through email threads or old shared drives.

🎯 Key Point: Guru eliminates the frustration of hunting through multiple platforms for information by creating a centralized knowledge hub that integrates seamlessly with your existing workflow.

• AI-powered search
  • Find information instantly across all sources
• App integration
  • Access answers without switching platforms
• Verified content
  • Trust that the information is accurate and up-to-date
• Centralized storage
  • No more scattered files and lost documents

"Knowledge management systems like Guru can reduce time spent searching for information by up to 35%, allowing teams to focus on productive work rather than information hunting." — Knowledge Management Research, 2023

💡 Example: Instead of spending 15 minutes searching through different folders and asking colleagues for the latest product specifications, Guru delivers the verified answer directly in your Slack channel or email interface in seconds.

The platform offers bite-sized knowledge cards, AI-driven search, and seamless integrations with Slack, Microsoft Teams, and Google Workspace. The Self-serve plan starts at $25 per seat per month with a 10-seat minimum, making it suitable for mid-sized companies. Guru emphasizes verification workflows and automated content updates to keep information accurate as your organization evolves.

Centralizing Knowledge Without the Chaos

Most teams store important information across multiple platforms: policy documents in Google Drive, product specs in Notion, and troubleshooting steps buried in Slack threads. When someone needs an answer, they either interrupt a colleague or spend twenty minutes reconstructing context from fragments. Guru consolidates everything into one system, tagging and organizing content so retrieval feels effortless rather than archeological.

A unified hub reduces the cognitive load of remembering where information lives. Employees find answers independently rather than asking "Who knows this?", freeing subject-matter experts to focus on higher-value work rather than answering repetitive questions.

Knowledge Cards That Stay Current

Guru breaks information into focused, structured cards rather than long documents that quickly become outdated. Each card covers a single topic with checklists, tables, or links, making it easier to read and update. Automated reminders prompt owners to regularly verify information, preventing content decay.

This format prevents comprehensive guides from becoming outdated. Cards adapt faster because they are smaller and assigned to specific experts. When a process changes, one person updates one card, and the entire organization sees the new version immediately.

AI That Surfaces Answers Before You Ask

Guru's AI watches your workflow context and surfaces helpful information without prompting. Writing an email about a product feature? A card with updated specs appears on screen. Filling out a form? Tips on common mistakes pop up before submission. The system anticipates problems and delivers the right information at the right moment.

How does Guru vs Glean change knowledge management perception?

This proactive approach shifts knowledge management from reactive search to ambient support. You're not pausing work to hunt for information; the information finds you. That subtle difference transforms how teams perceive knowledge systems: from "another tool to check" to "invisible infrastructure that makes work smoother."

But surfacing answers only solves half the problem when your team needs those answers to trigger actions across multiple systems.

Related Reading

• Glean Pricing
• Glean Integrations
• Dropbox Dash Vs Glean

What is Glean, and What Does It Offer?

Glean is an enterprise Work AI platform that connects across your company's digital ecosystem to surface answers, generate content, and automate workflows. Unlike traditional search tools, Glean brings together information from over 100 applications into direct, cited responses that appear where your team works. It respects permission boundaries while indexing documents, chat threads, tickets, and databases, transforming scattered knowledge into a unified intelligence layer.

🎯 Key Point: Glean transforms fragmented workplace data into actionable intelligence by connecting 100+ applications into a single seamless search experience while maintaining security protocols.

The platform achieved 270M+ Glean Assistant actions in 2025. Glean positions itself as infrastructure for knowledge work, not a better search bar: it enables teams to move from finding answers to completing entire tasks across disconnected systems.

"Glean achieved 270M+ Assistant actions in 2025, demonstrating massive enterprise adoption for AI-powered knowledge work."

💡 Example: Instead of searching through Slack, Confluence, and Jira separately, Glean provides unified answers that cite sources across all platforms while respecting your access permissions.

Understanding Context Across Your Stack

Glean's indexing engine scans Slack conversations, Google Docs, Jira tickets, Salesforce records, and dozens of other tools simultaneously. When someone searches for "Q4 pricing strategy," the system retrieves relevant information from sales decks, executive emails, and product roadmaps, then synthesizes it into a clear answer with source links.

The AI understands the relationships among people, projects, and topics, delivering results that reflect organizational context rather than keyword matching.

Why does portable context matter for teams?

This cross-application awareness prevents critical details from being trapped in one system while decisions are made elsewhere. Teams no longer rebuild timelines from memory or search for the person who "probably knows."

Context becomes portable, following work instead of hiding in silos.

Personalized Dashboards That Adapt

Each employee sees a customized homepage displaying recent documents, upcoming meetings, trending content, and role-specific updates. The system learns from your usage patterns and surfaces materials before you need them. A product manager might see engineering specs and customer feedback threads; a sales rep gets updated battle cards and recent win stories.

This smart curation eliminates the morning routine of checking six different tools to determine what matters today. The dashboard adapts to your responsibilities, keeping priorities visible without manual organization.

Verification Workflows for Trusted Answers

Accuracy determines whether teams will trust AI responses enough to act on them. Glean includes workflows in which subject-matter experts review and approve content, with automated reminders when information exceeds designated refresh dates. Verified answers display clear indicators, so users know when they're seeing authoritative guidance versus unvetted suggestions.

What happens when knowledge ownership gaps emerge

The system tracks content ownership and age, revealing gaps in responsible stewardship of important information. Organizations can prevent the gradual erosion of trust that occurs when outdated answers spread unchecked.

How do enterprise AI agents extend verification workflows

Platforms like enterprise AI agents run multi-step workflows based on verified information. Our Coworker platform ensures that when accurate information triggers actions across CRM, project management, and communication tools, verification becomes essential for operations to function correctly.

Are There Any Similarities Between Guru and Glean?

Guru and Glean share more common ground than most people expect. McKinsey research shows that knowledge workers lose 1.8 hours each day searching for information: almost 20% of the workweek.

💡 Tip: This time drain represents over 9 hours per week that could be redirected to high-value activities and strategic initiatives.

Both platforms solve this problem by helping teams cut through the noise and focus on work that matters.

"Knowledge workers lose 1.8 hours each day searching for information—almost 20% of the workweek." — McKinsey Research, 2023

🔑 Key Takeaway: Whether you choose Guru or Glean, you're addressing the same fundamental challenge: information overload that costs your team productivity and focus.

How do Guru vs Glean answer questions instead of listing links?

Both platforms move away from traditional search, where users receive dozens of documents and must extract answers themselves. Instead, the AI understands natural language questions ("What's our refund policy for enterprise customers?") and synthesizes answers from multiple sources, citing the specific documents, messages, or tickets it used.

This changes the search from digging through files to having a conversation, where the system connects information that previously required reading six different files and determining their relationships.

Why does connecting fragmented information matter?

Most workplace questions don't map neatly to single documents. Policy details live in one place, exceptions get discussed in Slack, and recent updates hide in meeting notes.

When the platform automatically connects those fragments, employees stop choosing between incomplete answers and lengthy research sessions.

How do Guru vs Glean integrate into existing workflows?

Neither Guru nor Glean forces teams to adopt a new destination tool. Browser extensions display answers as overlays while you draft emails or fill out forms. Slack integrations let you search the knowledge base without leaving a conversation thread. The systems add relevant context to your existing workflows rather than requiring you to stop, switch applications, and resume your work.

Why does embedding knowledge systems reduce adoption friction?

This integration strategy recognizes a fundamental truth: adoption fails when friction exceeds perceived value. By meeting employees where they already use applications dozens of times daily, both platforms reduce the effort required to find accurate information. The knowledge system becomes background infrastructure rather than another competing tab.

How do Guru vs Glean maintain information accuracy through verification?

Both platforms use workflows in which subject-matter experts review content at scheduled intervals, with automated reminders when information exceeds designated refresh dates. Verified answers display clear indicators that distinguish authoritative guidance from unvetted suggestions. The systems track ownership patterns and staleness metrics, revealing gaps where critical knowledge lacks a designated maintainer.

Why does verification prevent trust erosion in knowledge systems

This verification layer addresses trust erosion when outdated answers circulate unchecked. One incorrect response can condition an entire team to double-check everything manually, collapsing efficiency gains. By making accuracy visible and accountability explicit, both tools protect the confidence teams need to act on AI-generated answers.

How do enterprise AI agents extend verification capabilities

Platforms like enterprise AI agents run multi-step workflows based on verified information. Our Coworker platform ensures that, when information accuracy triggers actions across CRM, project management, and communication tools, verification becomes operationally necessary rather than a quality-control measure.

Shared capabilities only tell you what these platforms can do, not which one solves your team's specific problems.

Related Reading

• Moveworks Vs Glean
• Glean Vs Chatgpt

Guru vs Glean Feature Comparison for AI Knowledge Management

Guru and Glean are leading AI-powered knowledge management platforms that help reduce search time and put answers right into your daily work. Guru focuses on verified, organized knowledge creation, while Glean prioritizes broad discovery across existing data sources. This comparison highlights their core features to support informed decisions.

🎯 Key Point: Both platforms excel at different aspects of knowledge management - Guru for curated content creation and Glean for comprehensive data discovery.

• Primary Focus
  • Guru: Verified knowledge creation
  • Glean: Cross-platform search and discovery

• Content Approach
  • Guru: Curated, organized cards
  • Glean: AI-powered content indexing

• Best For
  • Guru: Teams needing structured knowledge
  • Glean: Organizations with scattered data

• Verification
  • Guru: Manual verification system
  • Glean: AI-driven relevance scoring

"AI-powered knowledge management can reduce employee search time by up to 35% while improving decision-making speed." — Enterprise Knowledge Management Report, 2024

⚠️ Warning: Choose based on your team's primary need - structured knowledge creation versus comprehensive data discovery - as each platform excels in different areas.

AI-Powered Search and Answers

Guru delivers agentic search that reasons over verified company knowledge to provide cited, conversational responses with clear explanations and sources. It minimizes hallucinations by grounding every answer in approved content and offers research mode for complex queries, making it reliable for teams needing trustworthy insights in Slack or the browser.

Glean excels at enterprise-wide search that indexes content across more than 100 connected applications, pulling direct answers from emails, documents, chats, and tickets in real time. It synthesizes context using an enterprise graph to understand relationships and permissions, making it ideal for large organizations where speed and breadth matter most.

Knowledge Organization Methods

Guru organizes content through collaborative editors, knowledge cards, collections, folders, and custom pages with rich formatting and embedded media. Publishing workflows enforce quality checks before content goes live, creating a clean, maintainable knowledge base that helps teams avoid duplication.

Glean uses smart collections and Go Links to create short, easy-to-remember shortcuts for frequently used pages and documents, automatically showing related items based on user needs. Teams appreciate the simple organization that works with existing files rather than requiring new ones.

Content Verification and Accuracy

Guru provides SME verification workflows, automated reminders, duplicate detection, and AI-driven auto-verification to flag outdated content. Every answer includes full citations and reasoning steps. The platform maintains accuracy and prevents reliance on stale data through controlled, auditable processes.

Glean enforces permission-aware access and uses real-time controls to ensure answers respect user rights and data governance. It indexes trusted sources but relies more on source freshness than proactive human verification. This prioritizes security and discovery, though teams may need additional processes to verify accuracy in rapidly changing environments.

Integrations with Workplace Tools

Guru works with Slack, Microsoft Teams, web browsers, and custom APIs, displaying answers directly in your chats, browsing, and forms without requiring you to leave your current app. This keeps knowledge accessible at your workplace and encourages cross-departmental adoption.

Glean integrates with over 100 business apps—Google Workspace, Microsoft tools, Jira, Salesforce, and more—through connectors that collect emails, conversations, and other information. It brings unified search and AI assistance directly into the apps you already use, eliminating the need for separate logins or switching between tabs.

Proactive and Personalized Delivery

Guru offers triggers, suggested answers, and trending topic detection that automatically surface relevant knowledge based on screen context or Slack activity, plus custom Knowledge Agents for specific roles. This keeps information accessible when needed, helping teams anticipate questions and stay aligned without constant manual searches.

Glean features a personalized homepage and an adaptive assistant that learns from user behavior, surfacing recent documents, upcoming meetings, and relevant insights tailored to individual roles and permissions. Users receive a customized starting point each day that adapts dynamically, reducing time spent searching for updates.

Automation and AI Agents

Guru lets teams build custom Knowledge Agents that handle answers, research, chat, and automation while maintaining verification and governance standards. These agents extend verified knowledge to repeatable tasks, freeing experts to focus on higher-value work while maintaining full auditability.

Glean provides Agents that automate workflows, create content, summarize materials, and organize multi-step processes using enterprise context and reasoning. It scales automation across connected apps, enabling no-code builders to turn insights into action without heavy IT involvement.

Pricing and Accessibility

Guru offers a self-serve option starting at around $25 per user per month (with a minimum seat requirement) and fully customizable enterprise packages that include implementation support and AI credits for usage-based scaling.

Glean uses custom enterprise pricing, typically around $45–50 per user per month for base search plus add-ons for advanced AI features, with minimum annual commitments. Quotes vary based on company size, data sources, and security needs.

Table Comparison of Guru vs Glean

Looking at features alone won't tell you if either tool solves your team's real problems or meets your needs.

• AI Search & Answers
  • Guru: Agentic, verified, cited answers with reasoning
  • Glean: Broad indexing across 100+ apps with contextual synthesis
• Knowledge Organization
  • Guru: Knowledge cards, collaborative editors, custom pages
  • Glean: Smart collections, Go Links, and auto-related content surfacing
• Verification
  • Guru: SME workflows, auto-verify, human approval
  • Glean: Permission enforcement with real-time controls
• Integrations
  • Guru: Deep integrations in Slack, Teams, browser, and API
  • Glean: 100+ native enterprise app connectors
• Proactive Delivery
  • Guru: Triggers, suggested answers, trending topics
  • Glean: Personalized homepage and adaptive assistant
• AI Agents / Automation
  • Guru: Custom knowledge agents with governance
  • Glean: Task automation agents with enterprise context
• Pricing Model
  • Guru: ~ $25 per user/month self-serve or custom enterprise
  • Glean: Custom enterprise (~ $45–50+ per user/month + add-ons)

Top Alternative to Try, and How It Compares to Guru and Glean

Coworker is a standout alternative for organizations ready to move beyond basic knowledge-retrieval tools like Guru and Glean. It functions as an intelligent AI work partner that researches, plans, and completes complex tasks across your entire technology stack, drawing on deep organizational context.

🎯 Key Point: Unlike traditional knowledge management platforms that simply store and retrieve information, Coworker transforms how teams actually work by becoming an active participant in your workflows.

"Coworker represents the next evolution beyond static knowledge bases, offering dynamic task execution across your entire tech ecosystem." — Enterprise AI Analysis, 2024

• Primary Function
  • Guru: Knowledge base
  • Glean: Search & discovery
  • Coworker: AI work partner

• Task Execution
  • Guru: Manual
  • Glean: Manual
  • Coworker: Automated

• Cross-platform Integration
  • Guru: Limited
  • Glean: Moderate
  • Coworker: Full stack

• Contextual Intelligence
  • Guru: Basic
  • Glean: Advanced search
  • Coworker: Deep organizational context

🔑 Takeaway: While Guru and Glean excel at storing and finding information, Coworker takes the crucial next step by actively completing work using that organizational knowledge.

AI Work Partner

Coworker positions itself as the first enterprise AI agent built to act like a senior teammate with full organizational awareness. The platform transforms generic AI responses into context-rich actions that understand your unique workflows, priorities, and relationships.

Unlike Guru and Glean, which focus on surfacing verified answers or search results, Coworker extends beyond surface-level results to real execution by helping teams eliminate manual follow-ups and synthesis work.

Breakthrough OM1 Organizational Memory

Coworker relies on OM1, a proprietary knowledge graph tracking 120+ business dimensions: teams, projects, customers, and decisions. It delivers instant, permission-aware recall and cross-functional synthesis without repeated tool calls.

Guru and Glean use indexed search or curated cards that miss deeper connections over time. OM1 maintains temporal understanding and proactive pattern detection, providing Coworker with more accurate, forward-looking assistance.

Multi-Step Deep Work Execution

Coworker operates in Deep Work mode for complicated multi-step processes such as analyzing CRM data, generating reports, or automating follow-ups across applications. It plans, researches, and completes deliverables with built-in approval gates and audit trails.

While Guru and Glean excel at quick lookups, they stop short of executing tasks independently. Coworker executes end-to-end tasks, reducing context switching and delivering measurable output rather than information alone.

Seamless Tool Integrations

The platform securely connects to over 100 enterprise applications via OAuth, including Slack, Jira, Salesforce, and Google Workspace. Knowledge and actions flow naturally within the tools teams already use daily.

While Guru and Glean offer strong integrations for search and suggestions, Coworker reads from and writes back to those systems, creating a unified workflow where the AI teammate operates without forcing users into a separate interface.

Rapid Deployment and Adoption

Teams can launch a working proof of concept in 48 hours and achieve full rollout in two to five business days, without lengthy custom development or extensive configuration. In contrast, many organizations report longer setup times with Guru or Glean due to complex indexing or verification workflows. This speed helps businesses realize value quickly and scale from pilots to company-wide use with minimal disruption.

Enterprise-Grade Security and Compliance

Coworker meets strict security standards, including SOC 2 Type II certification, GDPR compliance, CASA Tier 2, and a zero-trust architecture. It respects existing permissions and does not use customer data to train its models.

Guru and Glean also focus on security, but Coworker offers private deployment, on-premises capabilities, and detailed audit trails for every agent action, making it the best choice for regulated industries that require full transparency and control.

Proven Productivity and Cost Impact

Users recover eight to ten hours per week by reducing search time and using automated tools to compile information. Early tests show productivity gains of around 14 percent. It delivers three times the value at half the cost of comparable enterprise search platforms.

Unlike Guru and Glean, which make it easier to find information, Coworker turns knowledge into finished work. This helps teams make faster decisions, reduce repetitive tasks, and achieve stronger returns on investment across sales, engineering, operations, and other departments.

Table Comparison

Pick a platform based on where your team has problems and how your team prefers to work.

• Guru
  • Core focus: Verified knowledge management and cards
  • Primary strength: Curated, human-verified knowledge cards with strong governance
  • Knowledge organization: Bite-sized cards that are easy to create, update, and verify
  • AI capabilities: AI search with citations and proactive suggestions
  • Action ability: Limited — mainly surfaces information
  • Integrations: 100+ tools (Slack, Teams, Google Workspace, Salesforce)
  • Deployment: Fast setup via browser extensions
  • Security: SOC 2, GDPR, permission-aware
  • Pricing: ~$15–$25 per user/month (10-user minimum)
  • Best for: Teams needing trusted and structured knowledge
  • Key differentiator: Human-in-the-loop verification workflows
• Glean
  • Core focus: Enterprise AI search and discovery
  • Primary strength: Real-time search across 100+ apps with contextual answers
  • Knowledge organization: Smart collections, personalized homepage, Go Links
  • AI capabilities: AI search plus assistants/agents for answers and light automation
  • Action ability: Moderate — agents layered on search
  • Integrations: 100+ enterprise apps
  • Deployment: Hours to days
  • Security: Enterprise-grade and permission-aware
  • Pricing: Custom enterprise (~$45–$60+/user/month + AI add-ons)
  • Best for: Large organizations needing fast discovery across scattered data
  • Key differentiator: Massive indexing and personalized insights
• Coworker (AI Agent)
  • Core focus: AI teammate executing complex work
  • Primary strength: Organizational memory (OM1) + multi-step task execution
  • Knowledge organization: Living knowledge graph tracking teams, projects, and relationships
  • AI capabilities: Fully agentic AI that researches, plans, and executes workflows
  • Action ability: Strong — reads/writes to apps and automates processes
  • Integrations: 100+ apps with deep read/write access
  • Deployment: Proof-of-concept in ~2 days, rollout in 2–5 days
  • Security: SOC 2 Type II, GDPR, CASA Tier 2
  • Pricing: Transparent per-user/month (quote required)
  • Best for: Teams wanting an AI coworker that gets work done
  • Key differentiator: Proprietary OM1 memory and proactive execution

Related Reading

• Glean Vs Notion
• Glean Vs Moveworks
• Glean Vs Copilot

Which AI Knowledge Management Tool Should You Choose

Choosing between Guru, Glean, and Coworker depends on your team's priorities: keeping information correct, finding information across multiple sources, or converting knowledge into actionable work. Each platform addresses the challenge of searching for information, but they focus on different strengths, so the best choice aligns each platform's capabilities with your team's workflow and goals.

🎯 Key Point: The right AI knowledge management tool aligns with your team's primary workflow challenge — whether that's data accuracy, information discovery, or content creation.

"Teams that choose knowledge management tools based on their specific workflow needs see 40% faster information retrieval and 25% higher productivity in knowledge-intensive tasks." — Enterprise Software Research, 2024

💡 Pro Tip: Before making your final decision, consider running a pilot program with your top choice for 2-3 weeks to see how it integrates with your team's actual daily workflows and existing tools.

• Guru
  • Best for: Information accuracy
  • Key strength: Real-time verification
• Glean
  • Best for: Cross-platform search
  • Key strength: Universal discovery
• Coworker
  • Best for: Content creation
  • Key strength: Knowledge-to-output conversion

Guru Ideal: When Verified Accuracy Comes First

Guru builds a tightly controlled system of knowledge cards that subject-matter experts review and update. Every AI response includes clear citations, so teams know where the information comes from and how much they can trust it.

This approach works well in sales, HR, or customer support, where outdated information can lead to expensive mistakes or compliance problems. It integrates with Slack and Microsoft Teams to deliver reliable answers where people work, eliminating the need for a separate dashboard.

Glean Best for Organizations Needing Wide-Ranging Discovery

Glean connects to over 100 business applications and uses AI to deliver personalized, context-aware answers from documents, chats, emails, and tickets. It adapts to each user's role and current projects, surfacing insights without manual curation.

Large teams with information spread across multiple systems benefit most, as Glean reduces search time while supporting content creation and lighter automation tasks. Real-time permission controls maintain security at scale.

Coworker: The Standout Choice When You Need Action, Not Just Answers

Coworker is a smart AI agent powered by its own OM1 organizational memory, which tracks teams, projects, relationships, and changing decisions across your tech stack. It researches, plans, and completes multi-step tasks such as updating CRM records, writing reports, and automating follow-ups.

Unlike tools that only give suggestions or search results, Coworker finishes work inside the apps you already use. Our 2-to-5-day setup and clear per-user pricing make it ideal for mid-market teams seeking faster results and a genuine teammate.

Why choose Coworker when you need action over answers?

If your team is tired of answers that still require you to do the work yourself, Coworker delivers the smart partner that understands your business and gets the job done.

Book a Free 30-Minute Deep Work Demo

Coworker solves the main frustration that both Guru and Glean leave behind: the gap between finding information and getting work done.

Powered by its breakthrough OM1 Organizational Memory, Coworker acts as an intelligent AI teammate that deeply understands your company's teams, projects, relationships, and processes across more than 120 parameters. It researches across your entire tech stack, synthesizes insights from documents, chats, and systems, then takes real action like drafting reports, updating records, creating tickets, and automating follow-ups. With enterprise-grade security and two to three day deployment, teams using enterprise AI agents typically reclaim eight to ten hours per week while getting three times the value at roughly half the cost of traditional enterprise search platforms.

🔑 Key Takeaway: Unlike traditional search tools, Coworker doesn't just find information—it actively completes tasks and drives productivity gains.

"Teams using Coworker typically reclaim eight to ten hours per week while getting three times the value at roughly half the cost of traditional enterprise search platforms." — Coworker Performance Data

• Traditional search tools
  • Find information only
  • Passive knowledge retrieval
  • Standard deployment time
  • Higher cost per value

• Coworker AI Agent
  • Takes real action
  • Active productivity
  • 2–3 day deployment
  • Half the cost, 3× value

Whether your team struggles with repetitive questions, slow follow-ups, or scattered knowledge, Coworker turns passive knowledge into active productivity. Book a free deep work demo today and see how Coworker becomes your intelligent teammate.

💡 Demo Tip: Experience how Coworker's OM1 technology transforms your company's knowledge into actionable results in 30 minutes.