Katulu for Cost Efficiency

Uncover untapped savings potential while addressing shorter development cycles and increasing product requirements of your machines with Katulu Federated Learning.

More Efficient Material Cycles

With Katulu, you can analyze material cycles decentrally, and optimize them across users to uncover potential energy and material costs savings.

Increase Process Stability

Create the conditions for higher process stability of all knitted pairings in the field with Katulu and increase quality with lower scrap.

Time-to-Market & Development Costs

Radically reduce the time-to-market and development costs of your data-driven, value-added digital services.

Free Whitepaper on Federated Learning for Industry 5.0

Learn in our whitepaper which advantages Federated Learning offers in detail and how these can be put into practice for mechanical engineering. Our whitepaper "With Federated Learning to Industry 5.0" gives you the answers.