Every context in your hive gets its own AI — it knows everything shared there, and nothing it shouldn't.
What is this AI allowed to know — for this user, right now? No assistant that can't answer this gets deployed where it matters.
Assistants bolted onto flat channels and shared drives leak across permission boundaries — or get blocked by IT before launch.
SweetHive was built structure-first, so the answer is already in the architecture — not in a filter added after the fact.
Every message, file, note and video enters SweetHive inside a context, addressed to groups. Visibility inherits down the tree — and so does AI knowledge. The permission model and the AI's retrieval scope are the same object.
One per organization. People join through groups — never loose accounts with vague access.
Hierarchical workspaces. From the top you see everything; lower down, only that subtree.
Gate every shared item. Who sees is decided at the moment of sharing, not cleaned up later.
Each context's scoped AI. It retrieves only what your groups can see, from that level down.
Visibility flows down the tree. So does AI knowledge. Nothing else.
Ask any context a question. It answers from what your groups can see — from that level down, and nothing more. Permission-safe by construction.
One digest replaces notification noise across every hive you belong to. Prioritized, summarized, in your language — even when the thread isn't.
Write the message; SweetHive proposes the right context and groups. The structure stays — you stop navigating it by hand.
Every file, image, video and link is extracted, transcribed and indexed the moment it's shared. Search all of it in natural language — scoped to what you're allowed to find.
Install agents into a context. They inherit its boundary, see what its groups see, and act inside it — the agent platform with built-in organizational limits. Anyone can create one — scoped to all their hives, one hive, or a single context.
“Copilot bolts AI onto flat channels and hopes permissions hold. SweetHive's context tree makes AI scoping structural.”
Why regulated and high-trust environments can actually deploy it
Contexts map to collections and artworks; groups to conservators, insurers and lenders. The Context Brain becomes the artwork brain — scan history, condition reports, restoration threads, scoped per stakeholder.
Explore the vertical →School → class → section contexts. Parents, teachers and staff each see exactly their scope — and so does the AI that answers their questions.
Explore the vertical →One hive, clean boundaries. Suppliers, agencies and clients work inside single contexts with custom apps and agents — never inside your whole company.
Explore the vertical →Most AI security is a promise about filtering. SweetHive's is a property of the data model: content that was never visible to you can never reach your AI, because scope is decided at write time, not query time.
See the Context Brain live: one question, three personas, three correctly-scoped answers from the same hive.
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