AI Implementation
From strategy to production solution
We deliver what we recommend. From data preparation through model selection to production deployment – including team training.
Investment
On request
Individual based on project scope
- Data preparation and integration
- Model selection and training
- API development and integration
- Testing and quality assurance
- Go-live support and team training
What to expect
Clean Data Foundation
We prepare your data so AI models can work optimally.
Seamless Integration
The AI solution integrates into your existing system landscape.
Knowledge Transfer
Your team learns to use and evolve the solution independently.
Project Phases
Discovery & Design
- Deep-dive requirements
- Define technical architecture
- Connect data sources
- Finalize project plan
Development
- Data preparation & feature engineering
- Model selection & training
- API development
- Frontend (if required)
Testing & Optimization
- Quality assurance
- Performance optimization
- User acceptance testing
- Documentation
Go-Live & Handover
- Production deployment
- Set up monitoring
- Team training
- Support handover
FAQ
What technologies do you use?
That depends on the use case. We work with all common ML frameworks (PyTorch, TensorFlow, scikit-learn), cloud platforms (AWS, GCP, Azure) and can also deploy on-premise. For LLM applications, we use OpenAI, Anthropic, or open-source models – depending on requirements.
How do you ensure GDPR compliance?
Privacy by design is our standard. We use EU hosting, anonymize data where possible, document all processing processes, and support with GDPR documentation.
What happens after handover?
Your team is trained and can use the solution independently. If needed, we offer maintenance contracts for ongoing support and development.
Ready for your AI project?
Let's discuss your project and develop a concrete plan.