AI fine-tuning for businesses in Brussels – your bespoke artificial intelligence model

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Create your own AI, trained on your data and business scenarios

Generic artificial intelligence models know the whole world… but not your business. The fine-tuning artificial intelligence in Brussels involves specialising an AI model based on your own data so that they understand your line of work, your terminology and your rules. At iterates, we help you to to own your own AI : a bespoke model, which is more accurate, more reliable and tailored to your processes, rather than a standard tool that everyone uses.
Let’s discuss your fine-tuning project today

From a generic model to a specialised model

A pre-trained model (OpenAI, Anthropic, Llama, Mistral) is an excellent starting point. The fine-tuning go a step further: by retraining him on a representative data set From your real-world cases, it learns from your examples, your decisions and your exceptions. The result: a Personalised AI which provides accurate answers specifically for the situations that matter to you, with far fewer errors than a general-purpose model.

A data- and results-driven approach

Every project begins with an analysis of your objectives and your available data and the expected return. Our experts assess the the quality and volume of your data, identify the right use case and set out a clear roadmap: which base model, which training data, and which success metrics. The aim is not simply to «do AI», but to deliver a bespoke AI model with a measurable impact.

You retain ownership of your model

The model we are training belongs to you. We design architecture-agnostic (no vendor lock-in) : you can host your Proprietary AI in your cloud or on-premise, change the base model and develop the solution without being dependent on a single supplier. Your training data They remain yours; they are never used to train anyone else’s AI.

Iterates’ expertise at the service of your fine-tuning project

Our team brings together technical expertise in machine learning and business acumen to deliver bespoke AI models reliable, high-performance and scalable.

  • Preparing and labelling your data (data readiness, cleaning, structuring)
  • Choice of base model and method (full fine-tuning, LoRA/QLoRA, or RAG as required)
  • Enhanced security and RGPD compliance (anonymisation, encryption, logging)
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The practical benefits of fine-tuning for your business

Train your own AI model It is not merely a technical feat: it is a lasting competitive advantage.

Arrange a consultation with our AI experts

Significantly greater precision for your business scenarios

Where a generic model remains approximate, a fine-tuned model It learns from your real-world examples and becomes significantly more reliable at targeted tasks (classification, extraction, detection, text generation). Fewer errors, less manual checking.

An asset that belongs to you and increases in value over time

Your Bespoke AI becomes a company asset. Every new piece of labelled data and every correction made by your teams can feed into the model: it improves as you go along instead of stagnating.

Confidentiality and control over your sensitive data

Fine-tuning allows you to work on confidential data without exposing them to third-party services, with a roll-out on-premise or in a private cloud. Ideal for the financial, healthcare, legal and public sectors.

Sectors and use cases

Our projects in AI fine-tuning in Brussels are suitable for a wide range of sectors.

Finance & insurance

Fraud detection, invoice verification, analysis of regulatory documents and assisted scoring. 

Health & MedTech

Sorting files, assisting with diagnosis, and structuring reports, in strict compliance with regulations.

Industry & logistics

Sorting files, assisting with diagnosis, and structuring reports, in strict compliance with regulations.

Public sector & SMEs

Document processing, responding to members of the public, and the automation of internal processes. 

Tell us about your project

One exchange, a thousand possibilities.

Please describe your requirements in this form: we will review your enquiry and get back to you within 24 hours with personalised advice and a practical action plan.

We have the team and the resources needed to transform your data into bespoke AI model.

Our achievements

Your project, our mission

At iterates, we consider every AI fine-tuning project in Brussels as unique. Our mission: to transform your data and your expertise into a Personalised AI capable of making a measurable difference on a day-to-day basis. We work in partnership with your teams to understand your needs, constraints and strategic objectives.

Funding and support for your AI project

Investing in a Bespoke AI It may involve a substantial outlay, but there are plenty of schemes available to help reduce your costs: grants and subsidies, tax credits and tax incentives, tailored funding. We can help you identify the support available in Belgium.

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FAQ
FAQ – Fine-tuning AI in business

Fine-tuning involves to fine-tune an AI model that has already been pre-trained by retraining him on your own data. Rather than starting from scratch (which is time-consuming and costly), we build on a successful model and teach it your examples, your vocabulary and your industry best practice. You get a much more accurate AI based on real-world cases. 

Le RAG (augmented search) connects the model to your document repository so that it can generate responses based on your content – ideal when information changes frequently. The fine-tuning changes the behaviour of the model itself – ideal for a recurring styling, formatting or classification/detection task. Often, The best solution combines the two. We’ll help you choose the most cost-effective approach based on your specific use cases.

It depends on the task. For classification or detection (e.g. genuine invoices vs fraudulent invoices), a few hundred to a few thousand well-labelled examples are already yielding good results. We first evaluate your data readiness, then we define the required volume and quality, and how to enrich the dataset over time.

Yes. Your data is used only to train your template and are never reused elsewhere. We implement anonymisation, encryption, logging and access management, with hosting private cloud or on-premises if necessary. The final model belongs to you (Proprietary AI, no vendor lock-in).

It depends on your requirements for cost, latency, privacy and personalisation. Proprietary models are excellent «out-of-the-box»; the models open-source offer greater control (on-premises, advanced fine-tuning, controlled unit costs), which is useful for sensitive data. We design architectures agnostics so that you can switch to a different template without having to start all over again.

 

Absolutely. We are setting up a continuous improvement cycle : feedback from your teams becomes new data; the model is re-trained periodically, and we monitor its performance (drift detection). Your AI grows in step with your business. 

Let’s talk about your fine-tuning project

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