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Enclavean

Sovereign AI infrastructure

Powerful AI,inside yourboundary.

Enclavean deploys production AI within your own infrastructure or a dedicated private cloud. Your documents, your models, your controls. No sensitive data is ever sent to public AI providers.

Public egress
0 paths
Data residency
Your control
Access
Your team only

The problem

Public AI was not built for regulated data.

Teams across defence, healthcare, finance and government want the productivity of modern AI. The moment confidential information is typed into a public model, it leaves your control, your jurisdiction and your audit trail.

01

Data leaves your perimeter

Prompts, documents and context are transmitted to third party infrastructure you do not operate and cannot inspect.

02

Opaque processing chains

Sub-processors, retention windows and training practices sit outside your governance and complicate every compliance review.

03

No usable audit trail

You cannot evidence who accessed what, when, or on which document, so accountability breaks down under scrutiny.

04

Sovereignty you cannot demonstrate

Regulators, clients and boards increasingly expect proof of where data lives and who can reach it. Public tools cannot provide it.

The Enclavean model

Trust enforced by architecture, not by promises.

We do not ask you to trust a policy. We remove the pathways that create the risk in the first place. AI runs where your data already lives, behind the controls you already operate.

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Runs inside your boundary

Inference happens within your infrastructure or a dedicated private cloud. Sensitive data never transits a public model.

02enclave

Controlled access

Only your people reach the system. Authentication, roles and permissions map to your existing identity and security model.

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Full auditability

Every interaction is logged and attributable, giving you the evidence base that governance and regulators expect.

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Yours to operate

The system integrates with your platforms and knowledge, and remains under your ownership and control over its lifetime.

Deployment models

Two ways to deploy. Both keep control with you.

Choose the model that fits your risk profile and operating capacity. The security principles are identical. Only the location of the infrastructure changes.

Maximum control

Customer infrastructure

AI systems deployed directly within your own infrastructure, behind your existing security boundaries.

  • Data never leaves your environment
  • Existing network and security controls maintained
  • Suited to the most sensitive and regulated workloads
  • No dependency on external inference providers

Best for defence, government-adjacent and highly regulated environments.

Managed scale

Private cloud

Securely hosted AI infrastructure in a dedicated private cloud environment, managed and maintained for you.

  • Enterprise scalability without the operational overhead
  • Isolated, single-tenant infrastructure
  • Managed patching, monitoring and maintenance
  • Clear data residency within your chosen jurisdiction

Best for enterprises that want sovereignty without running the platform themselves.

Every deployment includes

Secure AI infrastructure

Private deployments built on enterprise security principles, with no sensitive data sent to public AI providers.

Audit logging

Visibility into user activity, AI interactions and system events, ready for compliance reporting.

Controlled access

Access environments that align with your identity, roles and least-privilege policies.

Enterprise integration

Connects to document repositories, internal applications, knowledge bases and enterprise platforms.

Retrieval augmented generation

Ground AI in your own documentation and data sources, without exposing them externally.

Data residency

Keep data within your infrastructure or chosen jurisdiction, with a clear and demonstrable boundary.

Audit logging

Evidence, not assumptions.

Governance depends on being able to show what happened. Enclavean records activity across the system so you can answer the questions that matter under audit.

  • User activity and authentication events
  • AI interactions and the sources used to answer
  • System and configuration events
  • Exportable records for compliance reporting
audit.log
live

Integration and retrieval

Connected to the systems and knowledge you already run.

Enclavean plugs into the platforms your teams depend on and grounds AI in your own documentation. Indexing and retrieval happen entirely inside your boundary, so your sources are never sent to a public provider.

1

Connect

Point Enclavean at the repositories and knowledge you already trust.

2

Index

Sources are processed and indexed inside your environment.

3

Retrieve

Relevant passages are pulled at query time, with access rules enforced.

4

Answer

The AI responds with attributed sources. Nothing crosses the boundary.

boundary secured
Internal documentation
Policies and procedures
Technical manuals
Medical documents
Engineering knowledge
Grounded answer

Integrates with

Document repositories
Internal applications
Enterprise platforms
Knowledge bases
Identity providers
Data warehouses

Grounds answers in

Internal documentationPolicies and proceduresTechnical manualsMedical documentsEngineering knowledgeEnterprise data sources

Industries

Built for organisations that answer to someone.

Where a data breach is not just an incident but a breach of duty, sovereignty and control are not optional.

Defence

Sovereign capability for classified-adjacent and sensitive operational data.

Healthcare

AI over clinical and patient documentation without leaving the trust boundary.

Financial services

Productivity gains that hold up to regulatory and audit scrutiny.

Government-adjacent

Demonstrable data residency and control for the public sector supply chain.

Legal

Confidential matter and client data kept privileged and in your possession.

Engineering

Ground AI in proprietary technical knowledge without exposing IP.

Questions

The questions security teams ask first.

A sample of what decision-makers want to know before AI touches sensitive data.

Read the full FAQ

Enterprise tiers of public AI improve contractual terms, but the architecture is unchanged. Your data still leaves your environment and is processed on infrastructure you do not operate or inspect. For regulated and sensitive workloads, the deciding factor is where processing happens and who can reach it. Enclavean keeps both inside your boundary, so control is enforced by architecture rather than by a contract.

Talk to us

Bring AI to your most sensitive work, without giving up control.

Tell us about your environment and the outcomes you are after. We will walk you through the deployment model, security architecture and integration approach that fit.