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Sovereign AI & agents

Hyperion Sovereign Fabric

A private workspace for knowledge, collaboration and governed AI.

Bring files, records, search and AI-assisted work into one organisation-controlled workspace, with identity, policy and audit boundaries designed together.

Concept illustration · not a deployment
Active development · local referenceSource reviewed Evidence & scope

Explore capabilities

What it does. Who it is for.

Organisations exploring private AI workspaces and control over documents, model routes and operational data.

One knowledge workspace

Collaboration, files and governed records share a workspace with controlled ingestion and search.

Explicit AI boundaries

Separate model-assisted work from identity, policy and audit decisions. Examine the route that data and requests take.

Operational foundations

Inspect backup, status and administrative surfaces alongside the application. Remote deployment and release remain separate work.

The working flow

  1. Define the information boundary
  2. Ingest approved knowledge
  3. Search and assist
  4. Review actions and records

These capabilities describe source and research scope. Deployment, integration, security and outcome claims need use-case-specific validation. Concept illustrations are not product screenshots.

Explore the technical record and evidence

Business ↔ technology bridge · A private workspace for knowledge, collaboration and governed AI.

Bring files, records, search and AI-assisted work into one organisation-controlled workspace, with identity, policy and audit boundaries designed together.

Bring files, records, search and AI-assisted work into one organisation-controlled workspace, with identity, policy and audit boundaries designed together.

This is a portfolio and source interpretation—not a customer, deployment, certification, or outcome claim.

  1. 01

    Business pressure

    Organisations exploring private AI workspaces and control over documents, model routes and operational data. A private workspace for knowledge, collaboration and governed AI.

  2. 02

    Product decision

    Collaboration, files and governed records share a workspace with controlled ingestion and search.

  3. 03

    Technical record

    Collaboration, files and governed records share a workspace with controlled ingestion and search. Separate model-assisted work from identity, policy and audit decisions. Examine the route that data and requests take. Inspect backup, status and administrative surfaces alongside the application. Remote deployment and release remain separate work.

  4. 04

    Evidence return

    Review the experiment against its intended use: Review a single-organisation use case, data boundary and model-hosting constraints before a scoped evaluation. This is an implementation reference, not a hosted offer.

Source evidence

What the source actually establishes

A single-organisation workspace implementation joining collaboration, files, governed records, controlled ingestion, search and AI with identity, policy, audit and operational surfaces.

Maturity
Active development · local reference
Evidence review
Source snapshot through

Architecture and product decisions

  • Keep organisational knowledge and collaboration within an explicit information boundary.
  • Separate AI-assisted work from identity, policy and action authority.
  • Review backup, operational status and deployment readiness alongside the application.

Inspectable evidence

  • Workspace, file, record, ingestion, search and AI source surfaces.
  • Identity, policy, audit, backup and administrative implementation records.
  • Implementation-status documentation distinguishing local validation from blocked release and unconfigured remote deployment.

Claim boundary

  • No hosted production service, customer deployment or operational data-residency result is established.
  • Single-organisation scope must not be presented as verified multi-tenant isolation.
  • Controls can support compliance work; they are not certification or legal advice.

Repository evidence is not client, deployment, certification, or outcome evidence.

Bring your next product decision.

Review a single-organisation use case, data boundary and model-hosting constraints before a scoped evaluation. This is an implementation reference, not a hosted offer.