Technology

Knowledge that keeps evolving

Knowledge is not static. Most AI systems treat it like a drawer: once stored, always equally correct. That is not how knowledge works in an organisation. It emerges, is confirmed, contradicts itself and changes.

AVSM stands for Evolutionary Artifact Vector Synthesis Model. In short: infrastructure for the evolution of understanding.

The idea behind AVSM

What matters

Four distinctions that make the difference

Storage is not trust.

A stored entry is not automatically reliable. AVSM distinguishes between what exists and what has been reviewed, challenged and scoped.

Retrieval is not governance.

Finding a document is one step. It also matters who reviewed it, what applies when sources conflict and why it should be relevant now.

A document is not yet memory.

Memory includes the history behind it: how a statement gained or lost trust and when its scope changed.

A missing source is not proof.

If a search finds nothing, that does not mean nothing exists.

The architecture

Six layers

This is how the system is structured. The layers separate interpretation, review, decision and execution — because linguistic probability alone grants neither truth nor authority.

AVSMKeeps context and time together: statements, decisions and relationships.Operational
ConductorAssigns the right models, tools and sources to each question.Operational
GovernanceChecks provenance, permission, risk and approval before anything happens.Partly operational
Meaning EngineTranslates language, documents and events into this form.In development
ZMLA machine-readable, versioned notation for meaning — so meaning becomes inspectable rather than remaining only in text.Target
EuroLLM-ZoiSysThe European language foundation for reasoning and formulation.Target

Where we stand

What exists today. What comes next.

Anyone who cannot answer the question “How do you know that?” may have built a search engine — but not yet a traceable knowledge system. That is why we clearly separate what already works today from what we are developing next.

Available today

  • Tenant separation, proven in operation
  • Memory with provenance for every entry
  • Authentication, memberships and roles
  • Knowledge per tenant, connected to Google Drive and other storage
  • The Hale assistant as the way in

Next

  • Freely configurable roles and permissions instead of hard-coded defaults
  • Areas within a tenant
  • A toolkit for building custom assistants
  • An expanded administration interface