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AI that stays inside your walls.

We deploy language models on your own servers or private cloud, so sensitive data never reaches a third-party API, with performance and security engineered in.

In plain words.

For banking, healthcare, legal and government work, sending data to an external AI service is often not an option. We select an open model that fits the task, optimise it for your hardware and run it behind your firewall, with the chat and API experience your teams expect.

Where it pays off

Regulated industries

Banking, insurance, healthcare and legal work with strict data rules.

Where it pays off

Confidential documents

Contracts, financials and HR files processed inside your network.

Where it pays off

Predictable cost

No per-token bills as usage grows; you own the capacity.

Where it pays off

Air-gapped sites

Fully offline deployments for sensitive environments.

How we deliver it.

Discover

We map the process, the data and the numbers you want to move.

Prototype

A working pilot on your real examples, usually within weeks.

Build

Production integration, guardrails, logging and a Nyoxa security review.

Run

Monitoring, retraining and monthly improvements under a support plan.

What you get.

  • Model selection and benchmarks on your tasks
  • Optimised serving on your GPU servers or private cloud
  • An OpenAI-compatible API and a secure chat interface
  • Hardening and penetration testing by Nyoxa

Fair questions.

What hardware do we need?

It depends on model size and traffic. Many business tasks run well on a single modern GPU server; we size it with you before you buy anything.

Is an open model good enough?

For focused business tasks, a well-chosen and fine-tuned open model often matches commercial APIs. We benchmark on your own examples so you can decide with numbers.

Who maintains it?

We can run it for you under a support plan, or hand over to your team with full documentation.

Let's scope your pilot.

Tell us where private LLM deployment could save your team time. We will reply within one working day with honest next steps.