Financing

Financing of Machines Made Easy

We offer you financial flexibility and reliable security to invest in state-of-the-art WAFIOS machines and machinery systems.

Together with our financing partner Financial Projects, we offer you neutral and solution-oriented advice on financing projects worldwide.

Gründe für eine Maschinenfinanzierung

Sicherung von Liquidität

Investition in neue Technologie

Nutzung von Fördermitteln

Attraktive Konditionen

More…
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Your benefits:

  • Independent and free advice on how to finance your machines
  • Best credit terms
  • Time saved - No negotiations required with possible financing partners
  • Entire range of subsidies is taken into account
  • Financing outside your circle of banks - no future pressure on credit lines
  • Customized financing options - adapted to your financing structure
  • Confidential processing of data and data protection is secured by written declaration

Digital Processes Tailored to Your Production

Data Interfaces

Open interfaces (OPC-UA) for data exchange and basis for connecting machines to other systems and complete integration into overall processes.


Data Visualization

Clear display of machines and their production data as well as errors and messages on dashboards that are intuitive to use.

Smart Machines

Machines that automatically optimize quality and performance with artificial intelligence and innovative software approaches.

Smart Tools

Tools and tool parameters belong together. To make tool management as easy as possible, WAFIOS tool data is stored centrally and can be called up directly from the machine at any time.

Error Diagnosis

During the test run, our FMU+ machines receive a unique digital fingerprint of the axis states. By comparing with this fingerprint, errors can be identified and rectified quickly during servicing.

Condition Monitoring

By monitoring the condition of the machine during production, patterns that may lead to faults can be documented – enabling early detection on a long-term basis. These are the first steps toward predictive maintenance.