eesel AI

Enables users to query their Slack workspace history and pinned documents through natural language conversation directly within Slack, without leaving the chat interface. Retrieves relevant messages, threads, and shared documents based on semantic understanding of the query.

Allows users to ask questions about Notion pages, databases, and documents through a conversational interface. Grounds answers in actual Notion content, reducing hallucinations by constraining responses to indexed documentation.

Respects user and document-level permissions across integrated sources, ensuring users only receive answers based on documents and data they have access to.

Enables querying and summarizing content from Google Docs and Google Drive documents through conversational AI. Extracts relevant information from shared documents without requiring manual copy-pasting.

Answers user questions by synthesizing information from multiple connected data sources (Slack, Notion, Google Docs) while maintaining awareness of organizational context. Provides answers grounded in actual company data rather than generic LLM responses.

Provides instant AI-powered responses to questions asked directly in Slack channels or threads without requiring users to switch to a separate interface. Maintains conversation context within Slack.

Combines and synthesizes information from multiple integrated sources (Slack conversations, Notion pages, Google Docs) to provide comprehensive answers that draw from organizational knowledge across platforms.

Automatically indexes and maintains searchable cache of connected workspace data (Slack messages, Notion pages, Google Docs) to enable fast retrieval and question-answering without real-time API calls for every query.

Automatically tracks and displays the source documents, messages, or pages that informed each AI-generated answer, providing transparency and enabling users to verify information.

Adapts the AI model's responses based on organizational context, terminology, and documentation patterns specific to each workspace, improving relevance and accuracy over time.

Enables creation of automated workflows in Slack that are triggered by AI-powered question answering, allowing teams to automate responses to common questions or route inquiries to appropriate channels.