NLnet Proposal Summary
NLnet Proposal Summary
CogniMesh is being shaped with the NLnet Commons Fund context in mind: open technology, user autonomy, interoperability, and public-interest infrastructure.
This public summary intentionally omits private application codes, personal contact details, raw application text, and sensitive operational information.
Public Motivation
CogniMesh aims to reduce dependence on centralized AI knowledge systems by giving domain experts a practical way to host, govern, and monetize their own knowledge endpoints.
Proposed Public-Interest Outcomes
- Open-source primitives for expert-owned RAG endpoints.
- A reference AI Interviewer workflow for building structured knowledge bases.
- A decentralized discovery model for AI-consumable knowledge services.
- Privacy-preserving patterns for local knowledge ownership.
- Fair compensation models for academics, researchers, and specialists.
Academic Collaboration Direction
The project may explore early academic collaboration with institutions such as UBI / University of Beira Interior as part of a careful project plan. This should be treated as an intended direction, not a confirmed production deployment unless future documentation states otherwise.