Data and feature strategy
Location page: Stuttgart
Custom ML Development for Companies Stuttgart
Development, training and integration of machine learning models for prediction, classification and intelligent product features.
Stuttgart is heavily industry-driven, with demand for robust data and ML systems in production-adjacent workflows.
Request ML projectML from data to deployment
I build ML pipelines from data preparation and feature engineering to model training, evaluation and production deployment. Example implementations include an AI Real Voice TTS for Voicfy based on a diffusion model and a news-gathering trading system that performs stock-level fundamental analysis.
Model training, evaluation and iteration including diffusion models for audio/TTS
Deployment, monitoring and MLOps setup for production ML and analytics systems
Stuttgart market context
Industry focus
- - Manufacturing
- - Automotive
- - Engineering services
Local leverage points
- - Predictive analytics
- - Quality forecasting
- - Process stability
FAQ
When do you need a custom ML model?
When off-the-shelf models do not provide the required accuracy, latency or domain fit for your use case.
Can a model be integrated into existing systems?
Yes. Integration is possible via APIs, batch pipelines or direct product features, including monitoring in production.
Do you have practical ML examples from your work?
Yes. This includes an AI Real Voice TTS for Voicfy based on a diffusion model and a news-gathering trading platform with per-stock fundamental analysis.
Where should ML start first in Stuttgart?
Usually in forecasting, quality and prioritization workflows with clear data sources.
Can AI be integrated with existing production IT?
Yes, through API layers, data pipelines or controlled batch integrations.
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Start your project in Stuttgart
Share your goal, timeline and budget for Stuttgart. You will get a clear recommendation for the next step.