Aiva data ownership

Own the work. Control the route.

Aiva is built around a simple rule: your complete workspace stays on hardware you control. Local inference is the default path, and any network or T.R.E.E* route is explicit, optional, and limited to the task you choose.

A secure private AI infrastructure room with a warm glass data vault, local compute modules, and an optional protected compute path.
Private boundaryLocal compute
Aiva is designed as a controlled environment around your work, with local intelligence at the center and optional private compute beyond it.
Explicit route only

Three privacy levels

Local first. Extend only when the work calls for it.

Choose how tightly Aiva can connect for the work in front of you. Local inference stays as the foundation, then optional T.R.E.E compute or narrowly defined encrypted internet access can be added for selected tasks.

Connection posture

Privacy is an architecture decision, not a user preference.

Each level defines a clear network boundary. Choose the posture that matches the sensitivity of the work and the infrastructure available.

01

Level 1

Complete lockdown

Aiva works with the data on the computer and does not connect to external networks. Models, files, task context, and results remain inside the local boundary.

T.R.E.E remote inference is disabled.

02

Level 2

Private network access

Aiva can reach approved data and services inside a private network or VPC. There is no broad internet access, and local inference continues to handle work on the device.

Optional T.R.E.E inference runs on powerful or private models inside infrastructure you control.

03

Level 3

Controlled internet access

Aiva still runs locally, while approved tasks can query internet data and services through encrypted connections. Your complete workspace remains on the hardware you control.

Optional T.R.E.E inference runs in private infrastructure or a VPC you control, while approved internet services use separate encrypted routes.

For privacy evaluation

What changes. What never does.

The network envelope can expand, but local inference and controlled T.R.E.E keep the ownership model consistent.

Ownership model

Controls stay legible

Local path stays available
Private routes are deliberate
Compute target remains yours
A comparison of controls across Aiva's three privacy levels
Control01Complete lockdown02Private network access03Controlled internet access
Local inferenceAlways availableAlways availableAlways available
Complete workspaceStays on the computerStays on controlled hardwareStays on controlled hardware
Internet accessNoneNoneEncrypted, task-specific
Private T.R.E.E inferenceDisabledOptionalOptional
Remote compute targetNot availablePrivate network or VPCPrivate infrastructure or VPC

Advanced AI under your control

Capability can scale without moving the ownership boundary.

Start with local intelligence. Add T.R.E.E inside your private infrastructure or VPC only where your security posture allows it.