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Services · Private AI Deployment

Private AI Deployment in New Zealand

Sovata designs, deploys and operates private AI systems inside infrastructure New Zealand organisations control — your own servers, a New Zealand data centre, or your organisation’s dedicated cloud tenancy. Your data is processed inside a boundary you govern, never sent to a shared public platform, and running costs are fixed rather than usage-metered. Engagements start with a free discovery call and a fixed-fee readiness workshop, so you know the scope and the number before committing to anything.

The sovereign stack: access, governance and guardrails wrapped around a model that runs with your data, inside your environment.
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What does a private AI deployment include?

A working deployment is more than a model. Every Sovata deployment combines a capable open-weight or licensable large language model, a retrieval layer that grounds answers in your approved documents and policies, access controls that decide who can see what, and logging so every interaction can be reviewed. The model supplies the language ability; the architecture around it supplies the accuracy, governance and audit trail that make it safe to use on real work.

  • Architecture design matched to your security and governance requirements
  • Private LLM selection and deployment — open-weight or licensable models, in your environment
  • Knowledge preparation, ingestion and retrieval (RAG) over your own documents
  • Access controls, boundaries and escalation paths agreed before go-live
  • User onboarding, then ongoing monitoring, governance and improvement
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Where can it run? Your three deployment options in New Zealand

On your own servers (on-premise)

The strongest sovereignty position: model, data and logs live in your server room or private rack. Suits organisations with existing infrastructure and strict residency or air-gap requirements — including deployments with no outbound internet access at all.

In a New Zealand data centre

Dedicated infrastructure hosted onshore, so data remains in New Zealand jurisdiction without you operating hardware. The common choice for organisations that need onshore residency and predictable performance without a capital purchase.

In your own cloud tenancy

A private deployment inside your organisation’s dedicated cloud environment in an onshore region. You keep the operational convenience of cloud while the model and data stay inside a tenancy you govern — not a vendor’s shared, multi-tenant platform.

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How does this support NZ data sovereignty and the Privacy Act 2020?

Because you choose where the system runs, personal and regulated information is processed within a boundary you can point to on a map. That physical control is what public AI tools cannot offer: they can promise contractual protections, but usually cannot promise your data never leaves the country.

A private deployment is designed to support obligations under the Privacy Act 2020, the Health Information Privacy Code, and public-sector expectations around keeping citizen data onshore — and for Māori organisations, it keeps data under the governance of the people it belongs to. We define exactly what the system can access and do before go-live, and where a use case doesn’t fit, we say so.

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What does private AI deployment cost?

Pricing has three stages rather than one number. AI Discovery is free. The AI Readiness Workshop is fixed-price. The deployment itself is scoped per organisation after the workshop, because the real cost drivers — data volume, governance complexity, infrastructure choice and integration scope — vary widely between organisations. You get a genuine range with the factors behind it before committing, and running costs after go-live are typically fixed and predictable rather than usage-metered.

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How long does deployment take?

Most organisations go from readiness workshop to a working, governed system in 6–12 weeks, depending on data complexity and governance requirements. The four-step process — define the problem, set the boundaries, prepare the knowledge, deploy and operate — is documented step by step on our How It Works page.

FAQ

Questions about private ai deployment

Yes. On-premise deployment on your own servers is one of the three standard options, including fully air-gapped configurations with no outbound internet access. If your existing hardware isn’t suitable, we’ll tell you what is — or scope an onshore data-centre or dedicated-tenancy alternative instead.

No. Enterprise plans on public tools improve the contract you sign, but the architecture is still the vendor’s shared, multi-tenant cloud. A private deployment changes the architecture itself: the model, your data and the logs sit inside a boundary you define. See our comparison of private AI vs ChatGPT Enterprise vs Copilot for the full breakdown.

If you want it to, yes — that’s the point. All three deployment options can keep processing entirely onshore: your servers, a New Zealand data centre, or your own cloud tenancy in an NZ region. Where a specific integration would move data offshore, we flag it during design so the decision is yours, made knowingly.

We do, under an ongoing operations arrangement — monitoring, governance upkeep, model updates applied deliberately on your schedule, and continuous improvement. You own the system and the data; we keep it healthy. If you’d rather run it in-house long-term, we hand over cleanly with documentation and training.

Then we’ll say so in the free discovery call. Organisations with light usage and no strong sovereignty requirements are often better served by a well-configured public enterprise tool — and telling you that honestly costs us nothing but earns your trust for when the calculation changes.

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Book a free discovery call. No preparation required — just tell us what you’re trying to solve.

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