Lark
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
The permission-aware generative AI and search platform for enterprise knowledge.
Glean is a sophisticated AI-native search and knowledge discovery platform designed for enterprise-scale deployments. By 2026, Glean has evolved beyond simple federated search into a central AI Operating System for the workplace. Its architecture utilizes a continuous, permission-aware indexing engine that connects to over 100 SaaS applications (Slack, Jira, Salesforce, GitHub, etc.) while strictly honoring existing access control lists (ACLs). Technically, Glean leverages a hybrid search approach, combining traditional keyword retrieval with dense vector embeddings to provide highly accurate Retrieval-Augmented Generation (RAG). Its core strength lies in its ability to synthesize cross-silo data into actionable insights via Glean Chat, ensuring that generative responses are grounded solely in the organization's verified internal data. This eliminates hallucinations within corporate environments. The platform is built for security-first organizations, offering SOC2 Type II, HIPAA compliance, and data residency options, making it the dominant player in the AI-enhanced knowledge management sector for the 2026 market.
A proprietary RAG implementation that filters the retrieval set based on the user's specific access rights in real-time before the LLM processes the data.
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
The semantic knowledge fabric for high-velocity enterprise intelligence.
Cognitive Enterprise Search and RAG-Powered Knowledge Discovery for the Intelligent Workspace.
Transform complex database schemas into actionable natural language insights with autonomous SQL synthesis.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically identifies knowledge gaps and creates 'Glean Answers' for frequently searched topics using high-confidence internal documentation.
Uses machine learning to rank results based on user department, role, and historical interaction patterns within the organization.
A developer toolkit for building custom crawlers for proprietary on-premise databases or niche SaaS tools.
Combines BM25 lexical search with dense vector embeddings to handle both specific acronyms and conceptual queries.
Analyzes the 'work graph' to understand which documents are currently trending or being updated by immediate teammates.
The ability to summarize long Slack threads, lengthy documents, or video transcripts into concise bullet points.
New hires spend weeks searching for the right documents and points of contact.
Registry Updated:2/7/2026
Sales teams struggle to find the latest technical specs or security answers for RFPs.
Developers need to find previous solutions to similar bugs or outages across fragmented repos.