Glean Features
Glean is an AI-powered enterprise search and knowledge discovery platform that connects all company data to provide personalized, trusted answers and insights.
View MoreKey Features of Glean
Glean is an AI-powered enterprise search and knowledge discovery platform that connects all company data sources, provides personalized and contextual search results, and enables building custom AI applications. It features a knowledge graph, advanced personalization, retrieval augmented generation (RAG), no-code custom AI agents, secure APIs, and turnkey deployment with 100+ connectors.
Enterprise Knowledge Graph: Connects and indexes all company data across content, people, and interactions to create a comprehensive knowledge base.
AI-Powered Search: Uses advanced personalization and RAG to deliver relevant, up-to-date answers based on user context and permissions.
Custom AI Applications: Allows creation of no-code AI agents, chatbots, and custom applications using company data through Glean Apps and APIs.
Secure and Scalable Platform: Provides enterprise-grade security, permissions controls, and scalable infrastructure to handle sensitive data responsibly.
Turnkey Implementation: Offers 100+ pre-built connectors for quick deployment without need for extensive professional services or manual setup.
Use Cases of Glean
Knowledge Management: Centralize and make searchable all company knowledge across disparate tools and systems.
Employee Onboarding: Help new hires quickly find relevant information and get up to speed on company processes and knowledge.
Customer Support: Enable support teams to rapidly access product information and customer data to resolve issues faster.
Research & Development: Accelerate innovation by helping researchers and engineers discover relevant prior work and insights.
Sales Enablement: Empower sales teams with quick access to product details, competitive info, and customer data to close deals faster.
Pros
Comprehensive enterprise search across all company data sources
Ability to build custom AI applications on company knowledge
Advanced personalization and security features
Easy implementation with many pre-built connectors
Cons
May require significant setup to connect all data sources
Potential for high costs for large enterprises
Effectiveness depends on quality and organization of existing company data
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