Digital solutions built to fit—custom AI development when standard tools are not enough
We build, train and integrate AI systems tailored precisely to your requirements. Industry-specific, privacy-friendly, in your cloud or on-premise. You retain full control over your data and model.
When is custom AI worthwhile?
Standard AI tools are remarkably good—for standard problems. As soon as your industry has specific regulatory requirements, your data is too sensitive for US clouds, or your processes are too specialized, generic tools reach their limits. Custom AI is the answer when:
- You need data sovereignty (e.g. medicine, law, defense)
- Your industry has its own terminology, layouts or workflows
- Your use case is intended to create a clear competitive advantage
- You want long-term independence from external API prices
Our build stack
Our approach
- Discovery—use case, data situation, regulatory framework, success criteria
- Data audit & preparation—there is no good model without clean data
- Prototype—the smallest functional system with clear evaluation
- Build—production system with monitoring, MLOps and scaling
- Knowledge transfer—you can continue developing the system without us
- Optional operations—hypercare or managed service on request
What you receive at the end
- A production AI system including monitoring
- Model artifacts and training pipeline (you own them)
- Documentation for operations and further development
- Evaluation suite—you always know how well the model performs
- Training for your team
Frequently asked questions
When is custom AI worthwhile?
When standard solutions do not cover your industry or data situation, data sovereignty is essential, or your use case is too specialized for generic models.
Proprietary model or foundation model?
Usually both. Foundation models as a base, supplemented with fine-tuning, RAG, prompt engineering and small specialized models for clearly defined tasks.
How do we prevent hallucinations?
Strict evaluation against a test dataset, source grounding, confidence thresholds, human-in-the-loop review for critical matters, and continuous re-evaluation.
Who owns the model?
You do. We deliver the model, pipeline and documentation. You are not dependent on us.
How long does a project take?
Typically 3-9 months for a production-ready custom AI system. Initial demos are usually available after 4-6 weeks.
Do you have a custom AI project in mind?
A 30-minute discovery call. We will tell you openly whether a custom system makes sense—or whether a standard tool is sufficient.