Data and feature strategy
Location page: Frankfurt
Custom ML Development for Companies Frankfurt
Development, training and integration of machine learning models for prediction, classification and intelligent product features.
Frankfurt has strong finance, data and compliance-driven structures focused on risk and efficiency.
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
Frankfurt market context
Industry focus
- - FinTech & finance
- - Professional services
- - Data-driven operations
Local leverage points
- - Risk reduction
- - Auditability
- - Automated decision support
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.
How are regulatory requirements handled in Frankfurt?
Through documented processes, transparent models and governance mechanisms.
Are AI workflows possible for sensitive data?
Yes, with the right architecture, access control and data classification.
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Start your project in Frankfurt
Share your goal, timeline and budget for Frankfurt. You will get a clear recommendation for the next step.