Private LLM Deployments

Plan and implement language-model serving within the infrastructure and access boundaries your organization requires. Balance model capability with security, capacity, maintenance, and operating cost.

AI Transformation / Specialist service

Keep model deployment aligned with your boundaries.

Plan and implement language-model serving within the infrastructure and access boundaries your organization requires. Balance model capability with security, capacity, maintenance, and operating cost.

Discuss your project

01 / Choose the serving architecture

Choose the serving architecture

Assess model size, expected concurrency, latency needs, and available infrastructure. Compare deployment options against actual workloads.

02 / Control access and data flow

Control access and data flow

Define authentication, network boundaries, logging, retention, and the handling of prompts and outputs across the application.

03 / Prepare for ongoing operation

Prepare for ongoing operation

Set up health checks, capacity monitoring, version management, and recovery procedures. Make operating responsibilities explicit.

04 / Your project

Talk through your use case

Discuss private llm deployments in the context of your current systems, your team, and the outcome you need. Define a focused starting point before implementation.

Talk to DEQX

Clarity before commitment.

Shape the engagement around the work you need. Specific deliverables, access, responsibilities, and acceptance criteria are agreed during discovery.

What we start with

  • Workflow examples and process owners
  • Approved data and system access
  • Quality, security, and review requirements

What the scope can cover

  • Choose the serving architecture
  • Control access and data flow
  • Prepare for ongoing operation

What we agree together

  • A defined scope and prioritized delivery plan
  • Review points and acceptance criteria
  • Documentation and ongoing ownership

A practical path from idea to operation.

A staged approach gives your team clear review points. Timing and responsibilities depend on the scope and the readiness of the systems involved.

  1. 01

    Define the task

    Agree the workflow, users, data sources, and the evidence needed to judge whether the approach is useful.

  2. 02

    Test the approach

    Evaluate representative examples, failure cases, and human review needs before expanding the scope.

  3. 03

    Build and integrate

    Connect the agreed capability to the application and its permitted tools, with access and exception handling defined.

  4. 04

    Prepare to operate

    Document evaluation, monitoring, ownership, and the improvement cycle needed after release.

Before we begin

Useful answers. Clear expectations.

A few questions to help frame your private llm deployments project.

Does private deployment automatically make an application secure?

No. Hosting location is one part of the design. Identity, permissions, data handling, application security, patching, and operational processes also need to be addressed.

How is the scope and delivery plan defined?

We begin with your current situation and the outcome you need. For this service, the discussion covers choose the serving architecture, control access and data flow, prepare for ongoing operation. Deliverables, dependencies, review points, and commercial terms are agreed before implementation.

What happens after the initial delivery?

Handover, maintenance, and ongoing improvement are discussed as part of the engagement. The arrangement depends on your internal team, the systems involved, and the operating responsibilities you want DEQX to support.

Let’s talk about your project

Bring us the challenge. Let’s shape the next step.

Tell us what you want to improve, what you have today, and the constraints that matter. We’ll help define a practical starting point.

Start a conversation