AverQel turns private documents and connected apps into a searchable knowledge and action layer. It is not a public document library. Each user account owns its documents, chats, queries, notes, connectors, and personal providers, with sharing happening only through explicit product features such as collections.

It processes documents, extracts text, creates retrievable chunks and embeddings, lets users ask questions, streams answers in DeepSpace, and returns results grounded in source evidence. This is a server-processed SaaS workflow with application-level user isolation.

AverQel does not make every user's data visible to other users. Admin views are designed around metadata and operational controls, not casual reading of private user content, provider secrets, or normal chat/document bodies.

AverQel now includes grounded chat, DeepSpace streaming, protected integrations, notes, exports, and persistent memory. It remains tenant-isolated and approval-gated while keeping the product focused on productivity rather than IDE-style operation.