Generative AI powered by search.



Glean is an AI-powered work assistant that helps you find information across all of your company's data:

Glean uses natural language processing to understand your queries and then searches through your email, documents, tickets, and more to find the information you need. It can also summarize information for you and answer your questions in a conversational way.

Glean is designed to be easy to use and set up, and it integrates with all of the apps you already use. It also offers a variety of security features to keep your data safe.

Overall, Glean is a powerful tool that can help you save time and be more productive.

Core Features

  1. AI-powered workplace search allows users to search across all of their company's data, including documents, conversations, tickets, and more. Glean understands natural language queries and continuously trains on a company's unique language and context to improve search relevance.

  2. The knowledge graph helps users discover information and connect with experts in their company. Glean builds a graph of people, content, and interactions to personalize search results and suggest relevant information.

  3. The generative AI assistant can answer questions, provide summaries, and analyze information from across a company's data. It is also secure, private, and permissions-aware.

Use Cases

  1. Salespeople: Quickly access customer information, past interactions, and product details to prepare for personalized pitches. Gain insights into competitor analysis and market trends directly from internal reports and emails.

  2. Customer Service Representatives: Instantly find resolution steps for specific customer issues within internal knowledge bases and past support tickets. Leverage sentiment analysis on customer feedback to identify areas for improvement.

  3. Marketing Teams: Analyze campaign performance data from various sources, understand customer engagement trends, and identify high-performing content. Quickly access past marketing materials and brand guidelines for consistent messaging.

  4. Product Managers: Research user feedback and feature requests across different channels (surveys, meetings, emails). Understand usage patterns and pain points to inform product roadmap decisions.

  5. Finance Teams: Quickly locate invoices, contracts, and expense reports for faster processing and audit preparation. Automate data extraction and validation for accurate financial reporting.

  6. HR Professionals: Search through employee training materials, onboarding resources, and company policies. Generate personalized welcome packets and answer frequently asked questions efficiently.

  7. Legal Teams: Quickly find relevant contracts, case documents, and internal legal opinions for research and preparation. Identify potential risks and precedents efficiently.

  8. Research & Development Teams: Access scientific papers, internal research reports, and competitor analysis insights for faster innovation. Stay up-to-date on industry trends and emerging technologies.

  9. Operations Teams: Monitor key performance indicators (KPIs) from various systems in real-time and identify potential issues. Access production logs and maintenance records to diagnose and address equipment malfunctions quickly.

  10. Executives: Stay informed on key projects, competitor activities, and industry trends by receiving personalized intelligence summaries. Get answers to business-critical questions with insights from various data sources.

Pros & Cons


  • Powerful Search: Deep dives across all company data for any answer.

  • Smart Knowledge Graph: Connects people, content, and insights easily.

  • Conversational AI: Get summaries, answers, and analyses quickly.

  • Security & Privacy: Data stays safe with permissions and privacy focus.

  • Time-Saving: Avoid endless searching and manual information gathering.

  • Personalized Experience: Tailored results based on your role and needs.

  • Easy Integration: Works seamlessly with your existing apps and tools.

  • Customizable: Adapts to your specific organizational structure.

  • Scalable: Grows with your company and data volume.

  • Continuous Learning: Improves search relevance with ongoing training.


  • Learning Curve: Initial onboarding and training might be required.

  • Data Availability: Relies on complete and well-organized data sources.

  • Complex Queries: May struggle with highly nuanced or technical questions.

  • Cost: Might be pricey for smaller companies or limited usage.

  • Integration Effort: Setting up integrations with various tools might be needed.

  • Security Concerns: Requires trust in their data privacy and security practices.

  • Limited Offline Access: May require internet connection for full functionality.

  • Bias Potential: Trained on existing data, which might reflect existing biases.

  • Vendor Lock-In: Switching to another service might be difficult later.

  • Ethical Considerations: Use of AI raises questions of transparency and fairness.


Video Review