Softwareentwicklung mit Python für ZF
Photo: ZF Friedrichshafen AG
Clever automation of test systems.

Transfer of Machine Learning Models into software solutions with Python

With the new development of the automation software for test systems, ZF Friedrichshafen AG is building on many years of success with its previous software solutions and is consistently laying the foundation for the future. cluetec supported the ZF team in the conception­ and development of a central software module for data management and consistent data exchange between different components of the ZF test system.

A challenge were the high demands on performance and stability with large amounts of data, as well as the transfer of existing machine learning models into performant modules. As a result, a software that meets all requirements was released on time and within budget.

Logo ZF

Customer: ZF Friedrichshafen AG
www.zf.com

In a nutshell

  • Software development based on Python
  • Service-based application architecture
  • Asynchronous frameworks in Python
  • IPython and numPy for numerical tasks
  • Plugin-enabled core components
  • Test-driven development

Services

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Technical consulting, application architecture, project implementation
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Establishment of deployment pipeline and DevSecOps processes
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Integration of existing Machine Learning models
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Optimization of performance and stability
The extensive know-how and experience of cluetec has significantly contributed to the successful implementation of the project. cluetec is a partner that we have valued for a long time and on who we will continue to rely in the future.
Johannes Weinberger, Project Manager, Product Owner within the project A4.0, ZF Friedrichshafen AG