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.
100% Process Stability for any Machine & Material Combination in Injection Molding
Plastics and Rubber Technology
Learn how a injection molding machine manufacturer uses Katulu Federated Learning to optimize process stability across company boundaries for every machine and material combination its customers use.
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.