AvenBox — sovereign AI control layerRoadmap target: Q1 2027

SovereignControl.For private AI.

AvenBox is built to keep intelligent work under user authority through local execution, explicit routing, and clear trust boundaries across device, app, and workstation.

AvenBox held in hand
The object in question

AvenBox. In your hands.

A sovereign compute unit that keeps intelligence, routing, and trust boundaries under direct user authority — not a cloud endpoint wearing hardware.

Read AvenBox →
Index — 01 / System map

A short map of what this company builds.

The ProductAvenBox. In motion.
Index — 02 / What you gain
01Yours stays yours

Your ideas, your notes, your private thinking — they stop being training data for someone else.

02Stop paying for silence

No monthly AI subscription quietly billing you for work that never needed to leave your desk.

03Time back

AI that handles the busywork in the background, so the work that matters actually gets your attention.

Index — 03 / Thesis

A system layer between user intent and AI execution.

This is not a hardware novelty page. AvenBox defines and governs execution paths so private work does not drift into external systems by default. It keeps control attached to the user as model capability grows.

Index — 04 / Architecture posture

One governing model. Three controlled execution modes.

I

Local execution path

Default path

Privacy-sensitive work where the user keeps direct control over context and compute.

II

Trusted extension path

Explicit only

Capability extension under explicit governance when local resources are insufficient.

III

External access path

Bounded & visible

External model access when requested, never as an invisible default behavior.

Index — 06 / Controlled access

Built for users who treat AI as critical infrastructure.

Reservation is open through a controlled EUR 1 deposit path. Current public pricing and timing are directional and aligned to Q1 2027.