Product overview

BlackBox Node private intelligence appliance.

BlackBox Node is the local appliance for teams that need useful AI assistance without turning sensitive client, patient, case, investigation, or internal business material into a public cloud AI workflow.

Private appliance Local indexing Permission-aware retrieval Local model runtime Local audit trail

Appliance model

Runs inside the client environment

The product is positioned as a managed local appliance, not a public SaaS workspace. The deployed node sits under the client's operational, network, and governance boundary.

Controlled knowledge

Search before generation

Approved source content is prepared for retrieval locally so answers can be grounded in selected documents, matters, and organisational knowledge.

Professional boundaries

Permissions before context

Matter, client, case, role, and user permissions are intended to filter retrieval before context is assembled for a local model.

Product path

The appliance keeps useful AI close to controlled data.

The product story is deliberately simple: deploy locally, connect approved sources read-only, index locally, retrieve with permissions, answer through a local runtime, and audit the activity.

  1. 01

    Deploy locally

    Install the appliance inside the client-controlled environment.

  2. 02

    Connect read-only sources

    Connect approved repositories without writing back to source systems.

  3. 03

    Prepare local knowledge

    Extract, chunk, index, and store metadata inside the appliance boundary.

  4. 04

    Query with permissions

    Filter by role, matter, client, and case permissions before model context is assembled.

  5. 05

    Answer and audit

    Use a local model runtime and record non-sensitive operational events locally.

Public website boundary

This site explains the product. It is not the appliance.

This public website is product information only. Do not submit confidential client, patient, case, investigation, regulated, or commercially sensitive data through the public website.

Next step

Discuss a private intelligence deployment.

Use the contact path to talk through data sensitivity, sector obligations, appliance shape, and rollout readiness before implementation decisions.