AI development: Successfully implement AI projects in your company
We take care of practical, scalable AI developments that fit into your existing IT landscape, both technologically and organizationally.
From the database to the trained, performing model
- Select and configure platform & model
- Collect & clean data
- Perform & evaluate data training
- Readjust until everything is running smoothly
Choosing the right platform and model
The good news: we don’t have to reinvent the wheel. There are well-established platforms that have proven themselves – and with us, you have flexibility when it comes to choosing a platform! We implement your AI project without you having to sacrifice the convenience and stability of a proven platform.
The platform
The right model
The choice of model lays an important foundation for AI development. Specialized AI models developed specifically for the company often lead to faster results than all-rounders. The key is to ensure that the chosen solution fits the problem.
How we ensure the right AI setup:
- Support in selecting the appropriate base model
- Further development of the base model (adaptation to your needs)
- Selection of the necessary parameters
- Advice on effective prompts
- Implementation in a development environment such as PyCharm, Colab, Jupyter, or similar
Data as the basis for every successful AI development
In order for AI to learn at all, it needs clean, complete, validated, and structured data. Well-designed AI developments therefore always have the quality, quantity, and diversity of information.
We can help you with this too. We support you in the technical preparation of this data: we ensure harmonized formats, anonymized content, and context-specific data sets for model training. We also validate the results using human expertise and prioritize the validated data. This ensures that your AI learns with relevant information.
How we make your data AI-ready
- Creation of databases or database access – also via API development
- Pseudonymization of personal data via an anonymization engine
- Harmonization and structuring of data
- Validation of data through human expertise
- Prioritization of verified results
- Provision of context-specific data (retrieval augmented generation)
Training and further development of the data model
Training is the be-all and end-all for successful AI. The more accurate, relevant, and well-prepared data it receives, the more reliable it becomes. We train and test the model, make any necessary adjustments, and thus optimize your model iteratively. So that your AI not only works, but continuously improves.
How we support you:
- Training the model with test data in the selected environment
- Separation of test and real data for clean learning
- Ongoing monitoring of model performance
- Experimentation with hyperparameters (for optimal results)
- Retraining with new data for consistently high performance
- Deployment of the model – as needed on different devices, in different apps, with different interfaces (e.g., a chat client)
- Applications of prediction or evaluation methods
- Repeating training and further development to provide new versions
Your request
We are happy to assist you.
Let’s get talking—we look forward to hearing your initial or more concrete ideas.
OUR ADDED VALUE
Your advantages of AI development with EBF
AI development is not a sprint, but a cleverly planned marathon – and that’s exactly what makes it so exciting. How do we implements this?
We combine proven frameworks with individual customizations – turning prototypes into real added value more quickly.
Our AI developments grow with your requirements – what starts as a small departmental project can later be rolled out across the entire company.
Data protection, GDPR, and the EU AI Act are not afterthoughts for us, but part of the AI blueprint.
Why companies trust us:
Technological expertise
We have extensive experience in using watsonx in complex IT environments.
Modular support
We provide our customers with comprehensive support – from feasibility analysis and training to operation and monitoring.
Seamless integration
We have proven implementation processes that allow your AI to integrate smoothly into existing systems.
Experts in data protection
Whether it’s data governance, the EU AI Act, or the GDPR – we know what matters.
FAQs on AI development
Yes – we help you successfully implement your AI projects. We support you from A to Z, from selecting the right model to ensuring reliable operation. This is how we develop your customized AI solution.
The more high-quality and structured data is available, the better the model can be trained—provided that the data is clean, diverse, and relevant. We help you with data harmonization, anonymization, and the establishment of a stable database, as well as the preparation of information for model training.
That depends entirely on the scope. Small pilot projects can be implemented in a few weeks – large systems grow gradually. But the fact is: it doesn’t always have to be a large-scale project.
AI development is more than just code and models. It describes the entire process of turning an idea into a functioning and adaptive application. It combines data expertise, technical fine-tuning, and an understanding of how companies operate. Good AI development not only considers how an AI project is implemented, but also the “why,” so that the solution brings real added value to the company.
Your Request
Sounds good?
Let’s talk.
We know this is a big topic, which is why we are happy to provide simple informational discussions. Even if you are already further along, we would be happy to advise you.
