AI DataTronic Analytics

A virtual system transforms complex scopes and requirements into manageable chains of effects

Technology Description

The Model-Based System Engineering model supports development through machine learning and AI methods for noise recognition, wear detection, and automated acoustic analysis. It also enables objective signal analysis in technical acoustics, as well as the development of new evaluation methods and automated assessments. Furthermore, it optimizes processes through automated reporting and the development of specialized software for interface automation.

Customer Benefit

  • Faster Analysis of Relationships and Dependencies
  • Efficient testing and summarization of results
  • Accelerated development of better solutions

Core Competencies

  • Expertise in the system integration of highly complex, manual, and (partially) automated methods and systems
  • Experience in optimizing processes through automated analysis and reporting in various applications
  • Collaborative work with established, skilled teams

Contact

Roland Schleicher, Dipl.-Ing.

Phone: +49 176 78351187
Email: Roland.Schleicher(at)evo-gmbh.com
Website: www.evo-gmbh.com