Oryne gives founders, operators, and enterprise teams a local memory graph across conversations, documents, and commitments without sending sensitive context to third-party AI clouds.
Primary search intent
private AI assistant
Teams that want AI recall and follow-up help without handing over inboxes, chats, docs, or meeting context.
What teams get
Find the exact backstory behind a decision
Ask across connected work tools with source-backed context
Track commitments before they become missed follow-ups
Most assistants become useful only after they ingest the most sensitive parts of work. Oryne is designed for that reality: ingestion, embeddings, graph construction, and inference can all stay inside your perimeter.
A private assistant should remember more than a transcript. Oryne connects entities and events so the answer includes who was involved, what changed, and which source proves it.
The product surface is meant for repeated use: search, ask, draft, review, and follow up from one memory layer instead of searching every app manually.
Questions
Oryne can run the full memory and inference pipeline locally or on infrastructure you control, so private work context does not need to leave your network.
No. Oryne supports individual local use and enterprise on-prem deployments for teams with stricter governance, audit, and data-residency needs.
A normal chatbot often resets context between sessions. Oryne maintains a graph of people, promises, documents, and decisions so recall compounds over time.