We make your machines smarter.

Together towards Industry 4.0

If you want to write your own success story, stay in control and achieve transparency, take the step into Industry 4.0. scitis.io will help you to connect mechanical engineering and the digital world. From zero to fully functional in just six weeks - that is our promise.

Individual solutions for your company

Make your decisions based on process information and knowledge founded on real life data provided by your IIoT platform. We support you along the entire path from hardware connection to a data-based business model. 80% of this comes from our industry-proven framework and 20% is created individually with you.

A one-stop shop for IIoT

With scitis.io you have one contact for all competences in the area of the Industrial Internet of Things (IIoT). Data evaluation, edge computing and machine learning come from a single source and even unique challenges can be solved with the help of our wide partner network.

Scitis.io is bringing Industry 4.0 to SMEs

You want security, flexibility and a cost-efficient solution? scitis.io offers you all of this within a customized program that will accompany you on your business path towards Industry 4.0 starting today. Whether as a retrofit in the brownfield, as a feature of your latest product or even as a whole new line of business: scitis.io is your contact for digitization in mechanical and plant engine.

No half measures

Manufacturing Quality

Analyze your processes in depth and find the right parameters for every new product right away. Use your gathered information from passed production runs to ensure a tuned process from the very start.

Optimization Potential

Find the optimal operating point and save resources by analysing your key performance indicators.

Wear & Overload

Use the full potential of deep learning and statistical models to make wear predictions and prevent failures.

Reports from practice

Case Study: Achenbach Buschhütten

Digitisation at Germany's oldest mechanical engineering firm.

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Case Study: Viessmann

Our customer Viessmann demonstrates how machine data and process information contribute to the energy transition.

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