OrivelaIQ

Keep what you learn. Build on it together.

Traceable knowledge.
From your own sources.

Conversations, workshops and work with AI produce valuable insights. OrivelaIQ makes the knowledge you preserve in your own sources available to others, together with its context and related feedback.

Build on what you have learned
Inside Knowledge CurrentProduct interface · Demo
OrivelaIQ Knowledge Current: Workspace Overview in the neutral OrivelaIQ Demo Workspace

Read knowledge. Keep its context. The actual reading view with a neutral demo document: navigation, content reference and a feedback entry point.

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01Reuse what you have learned
02Assess it together
03Build on it with your own AI

01 / Beyond a single conversation

Knowledge should outlast the conversation.

After a useful analysis, the next conversation often starts from scratch. Insights are scattered across chats, documents and tools. Preserving knowledge makes it possible to build on that work, including for people who were not part of the original conversation.

That means deliberately selecting results, assessing them and maintaining them in your own sources. When others use them, storage alone is not enough: Where does a statement come from? What is a proposal, and what has been decided? Provenance and controlled evolution help people assess shared knowledge.

Knowledge Lineage is the guiding idea: making the origins and evolution of knowledge traceable. Today’s product views already support parts of this idea; the complete experience continues to evolve.

02 / Assess and evolve knowledge together

The question belongs with the content.

Shared knowledge evolves. New questions and insights need their context. In OrivelaIQ, contributions can relate to an article or a specific section. Existing external responses remain visible in that context.

Feedback or an AI answer starts as a contribution. Incorporating it into authoritative knowledge requires a separate decision and an update to the source.

03 / A shared foundation for people and AI

Your AI may change.
Your knowledge stays.

The knowledge you have developed stays in your sources. A new conversation or a different AI client can build on it when you authorize read access. Each connection belongs to its user; their permissions determine access.

A possible question for a connected AI
What have we documented about project handovers, and what feedback is available?

An example question for a knowledge base maintained around this topic. The answer is produced by the AI system you use.

  1. 01
    Find

    Search visible workspaces and existing content.

  2. 02
    Read

    Retrieve textual knowledge and contextual feedback.

  3. 03
    Build on it

    Reuse available knowledge in the next conversation.

Current MCP access is read-only and bound to user and workspace permissions. The knowledge base is not tied to a particular AI provider.

04 / What stays in your hands

Clear principles. Deliberate boundaries.

  1. 01

    Your sources stay authoritative.

    You select valuable results, assess them and maintain them in your sources. OrivelaIQ makes this knowledge available to others. An AI answer does not automatically become authoritative knowledge.

  2. 02

    Evolution stays controlled.

    Feedback, decisions and verification serve different purposes. Traceability helps with assessment; it does not replace professional review.

  3. 03

    AI uses your knowledge.

    The knowledge base exists outside individual AI conversations. Authorized people and different AI clients can use the same body of knowledge. Choosing a model does not determine who holds authority over that knowledge.

Continue the conversation

What should become of your insights?

OrivelaIQ continues to evolve. Application access is currently private. For questions and a conversation about your work:

mail@orivelaiq.com

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