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ElementX

Agentic infrastructure

Run AI agents on infrastructure you control

On your own servers, in a sovereign New Zealand data centre, in private cloud, or on the device itself. We engineer the platforms your agents run on and the data they work with, to a standard your security and compliance teams will sign off.

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Trusted by enterprises running AI in production

  • University of Auckland
  • Mott MacDonald
  • Southern Cross
  • New Zealand Defence Force
  • The Warehouse Group
  • Deutsche Telekom

What holds enterprise AI back is rarely the model

The models are ready. What stalls the rollout is everything underneath them: data split across on-premises systems and several clouds, compliance rules that stop agents running on someone else's infrastructure, and security teams who will not let an agent near production systems until it is properly isolated. The larger and more regulated the organisation, the harder this gets, and the more there is to gain from getting it right.

Three layers have to be engineered before agents can do real work

Getting a model running is the easy part. The layers underneath decide whether it stays in production and passes an audit.

  • Data your AI can work with

    One map of your organisation's data across on-premises systems and cloud, structured and reachable so Copilot, agents, and bespoke systems answer from the right source. Getting data AI-ready is engineering work, and it's where most of our engagements start.

  • A runtime agents can be trusted in

    Agentic workloads running on your own virtual machines, your data centre, or your private cloud. Each agent sandboxed and isolated from the others, with identity, secrets, and audit trails your security team can inspect.

  • A path from code to production

    The deployment pipeline that takes an agent from an engineer's laptop into your infrastructure with permissions, monitoring, and rollback in place. Built so your own team deploys the tenth agent as easily as the first.

Own the platform, not necessarily the hardware

Where the workloads run is a design decision, made from your data, your compliance obligations, and your cost model. We make it with you, then engineer a platform you control wherever it lands.

Where the model has to stay on premises, we work alongside New Zealand data-centre and hardware providers who bring the metal, and we bring the engineering that puts your workloads on it. Mott MacDonald's knowledge assistant serves a global workforce of 20,000+, inside its own security model.

Talk to us about where your AI should run

The same engineering, wherever your workloads have to live

Every engagement is shaped by your constraints. These are the situations the work most often lands in.

  • Sovereign and on-premises

    Frontier models and agents running inside a New Zealand data centre or your own facility, for organisations whose data cannot leave the country, or the building.

  • On virtual machines your IT team already runs

    An agent platform engineered on your existing infrastructure: agents sandboxed from each other, shared organisational context, and one place to see what every agent is doing.

  • At the edge

    AI running on the device itself, where connectivity is unreliable or the decision cannot wait for a round trip to a server. We have put models onto aviation tracking hardware that is in production today.

  • Across your whole data estate

    Bringing data scattered across on-premises servers and several clouds into one AI-ready foundation, so the tools your people already have, Copilot included, work properly with it.

Built with your engineers, so your team runs it

We build the first version alongside your platform and security teams, then hand it over, so your own team can keep building on it. It is the discipline we have kept in production in regulated environments for more than a decade, across education, insurance, infrastructure, finance, retail, healthcare, and government.

  • Education
  • Insurance
  • Infrastructure
  • Finance
  • Retail
  • Healthcare
  • Government

Bring frontier AI inside your own perimeter