Question 1

Why can't we just use ChatGPT Enterprise?

Accepted Answer

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.

Question 2

Where is our data stored?

Accepted Answer

Wherever you decide. With a customer infrastructure deployment, data stays entirely within your own environment. With a private cloud deployment, it resides in dedicated, single-tenant infrastructure within your chosen jurisdiction. In both models the boundary is explicit and demonstrable.

Question 3

Who can access our AI systems?

Accepted Answer

Only the people you authorise. Access maps to your existing identity provider, roles and least-privilege policies. There is no standing external access, and every access decision is logged.

Question 4

How does auditing work?

Accepted Answer

The system records user activity, AI interactions and system events, including which sources were used to answer a query. These records are attributable and exportable, giving you an evidence base for compliance reporting and internal governance.

Question 5

Can we deploy on-premise?

Accepted Answer

Yes. Customer infrastructure deployment runs AI directly within your own environment, behind your existing network and security controls. This is the model most often chosen for the highest-sensitivity workloads.

Question 6

How does RAG protect our data?

Accepted Answer

Retrieval augmented generation grounds answers in your own documentation. With Enclavean, indexing and retrieval happen inside your boundary and your access rules are enforced at query time. Your source content is never transmitted to a public AI provider.

Question 7

What industries is this suitable for?

Accepted Answer

Any organisation that handles sensitive or regulated information and needs to demonstrate control over it. That commonly includes defence, healthcare, financial services, legal, engineering and the government-adjacent supply chain.

Question 8

Which AI models do you run?

Accepted Answer

We are model-agnostic and select capable models appropriate to your requirements, running them privately within your environment. The defining characteristic is not the model but the fact that it operates inside your boundary and under your controls.

Answers for the people held accountable.

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