Female Engineer in plastic mold factory

Closing the data gap in the Plastics Industry

Help your customers become more competitive in the circular economy despite increasing variant complexity and growing recyclate content. Leverage the data potential of your machines with our platform to avoid strategic, legal or technical headaches.

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AI in the Plastics industry without data exchange

We solve the fundamental issue of AI adoption in plastics:Machine manufacturers, operators and especially contract manufacturers do not want to share their data.With us they do not need to!

The success of AI depends heavily on one component - data. Most customers, however, don't want their data in the cloud. Katulu's unique decentralized machine learning approach enables you and your partners to realize the full potential of AI. All sensitive process and machine data remains safely with your customers, partners, and suppliers on the Edge where data is processed. Our decentralized AI only shares insights to create synergies for cost efficiency and sustainability - always with full data control of all participants. With Katulu, you stay sovereign and become sustainable.

Increase process capability

Create the conditions for increased process capability spanning all machines and materials in the field while improving quality and minimizing scrap.

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Harness process knowledge

Whether it's employee turnover or demographic change, we make it easier for you to capture & leverage real-world process knowledge across organizational boundaries.

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True data
sovereignty

Katulu protects the data sovereignty of your entire industry. Machine builders, operators and users benefit from mutual knowledge gain without sharing sensitive data.

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How can we help?

Are you looking to leverage AI in the plastics industry? Take advantage of our free advice and discuss your case with our AI specialists.

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Free Whitepaper on how Siemens mastered Federated Learning with Katulu

  • Learn how Siemens successfully implemented federated learning in two factories combining Katulu’s federated learning platform and Siemens Industrial Edge.
  • Deep insights on challenges, experiences, and take-aways from a real-world implementation of federated learning in electronics manufacturing.
  • And how Katulu and Siemens enable industrial-grade AI while ensuring privacy, data security, and compliance - plus deep-dive on architecture, technology stack and model performance results.
Whitepaper

Ready to get AI done right?

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