← Our expertise

Your knowledge.
Working for you.

On-premises AI and private document intelligence, designed around your information, your permissions and your firm’s everyday work.

Compact private AI workstation with document folders and a laptop

Sovereign intelligence.

Make institutional knowledge useful without sending it to a public AI service. We design and deploy a private AI environment within your agreed infrastructure, connecting a carefully selected model to the documents your people are authorised to use.

The starting point is a defined workflow: finding a clause, tracing a decision, comparing a document set, or preparing a first draft. The system retrieves relevant material with source references; your professionals retain responsibility for interpretation and approval.

A private AI environment.

Workload-based hardware and model selection, a local inference environment, and a clear boundary for connectivity, administration and updates. Rack-mounted or deskside configurations are assessed against power, cooling and noise requirements.

Knowledge with context.

Document ingestion, indexing and retrieval tied to source records. Permissions, retention and deletion must carry through to the index, the retrieved passages and the answer.

Tools your people can use.

A private browser interface, approved workflows, source-linked responses and representative evaluation questions. Training and handover are part of the delivery.

An illustrative workflow

A question across years of documents.

An authorised family-office analyst needs to compare reporting obligations across several structures. The assistant retrieves relevant passages from approved deeds and agreements, cites the source documents, and prepares a comparison for professional review. Records outside the analyst’s mandate remain outside retrieval.

How answers are tested.

Before handover, your nominated users write test questions drawn from real work. Each question names the document that should answer it. The firm agrees the pass threshold before the tests run.

  • The system retrieves the expected document and cites it.
  • Where approved material holds no answer, the system says so instead of composing one.
  • Run under each role, the tests show no restricted record in retrieved passages or answers.
  • The tests run again after any model or index change, so the firm can see whether quality holds.

A clear boundary.

Local processing is one control among many. The design must address identity, prompt injection, physical access, backups and maintenance. A physically air-gapped enclave is specified only where its operating constraints match the work; a VLAN alone is not an air gap.

Security & ownership

What sovereign AI actually requires

Read the perspective