Software, AI & Technology Services

AI Model Customisation & Deployment

Adapt and deploy AI models with a clear engineering purpose. We assess whether configuration, retrieval, fine-tuning or another approach fits your data, evaluation needs and operating constraints.

Capabilities

What we can help you build

  • Model & approach selection

    Compare existing models and adaptation options against the intended task.

  • Dataset preparation

    Review data quality, permissions, labeling needs and evaluation splits.

  • Model customization

    Adapt prompts, configurations or model weights where suitable and authorized.

  • Task-specific evaluation

    Develop representative test cases and compare behavior before deployment.

  • Inference & application integration

    Connect model inference to applications through appropriate interfaces.

  • Deployment & lifecycle planning

    Plan runtime resources, versioning, monitoring and model-update procedures.

Your context

From business challenges to practical options

  • A general model does not fit a specific task

    Potential approachEstablish a baseline and evaluate targeted adaptation against defined examples.

  • A model works in a notebook but not an application

    Potential approachDesign an inference interface and test runtime and integration constraints.

  • Model updates are hard to assess

    Potential approachKeep versioned evaluation cases and define review criteria for changes.

Use cases

Possible applications

These examples show potential applications. They are not completed customer projects or claims of delivered results.

Illustrative scenario

A document classification workflow

An illustrative model adaptation for assigning business documents to agreed categories.

Illustrative scenario

Vision inference in an application

A possible deployment that exposes a vision model through an application API.

A clear path forward

How we approach the work

  1. Define task & baseline

    Agree on inputs, outputs, evaluation cases and an initial comparison point.

  2. Prepare & adapt

    Review permitted data and test an appropriate customization approach.

  3. Evaluate integration

    Check model behavior, application interfaces and runtime requirements together.

  4. Deploy & document

    Prepare the deployment, versioning, monitoring and handover plan.

Frequently asked questions

Questions before we begin

Is fine-tuning always necessary?

No. We first compare simpler approaches, available models and retrieval or configuration options before recommending weight updates.

What data is needed?

That depends on the task. We review relevance, quality, labeling, usage rights and representative evaluation examples.

Can deployment run on our infrastructure?

We can assess available hardware and runtime constraints. The hosting and support approach is agreed after that review.

Your next step

Let's Discuss Your Project

Tell us about your current system, what you want to change and any constraints. We can discuss a practical scope and suitable next steps.

A quote follows a review of your requirements. Pricing, timelines and support terms are agreed before work begins.