Boost Predictive Maintenance with dezentralized AI
Leverage artificial intelligence to prevent rare machine failures. Lower the barriers to entry for your customers with Katulu's transparent and customer-friendly AI technology for Federated Learning.
Get to know the platformHigher Machine Availability
High machine availability is key to economical & sustainable production. Our decentralized AI ensures the data remains with your customers, while still enabling your analytics for predictive maintenance. Establish the optimal maintenance schedule for every customer, avoid unnecessary routine maintenance, reduce unplanned machine failures and malfunctions, extend the lifetime of machines and minimize downtimes. Get happier customers.
Better Predictions
Accurately predicting unpredictable events in the field, such as machine failures or malfunctions, requires enormous amounts of data. With our platform, you can use machine and process data from your industrial users to train distributed AI models without your users having to reveal this data. Due to the broader data foundation, you can make better predictions with very high accuracy for all customers.
AI without Sensitive Data
The central collection of machine and process data in the cloud is viewed critically by many industrial users. This has become an obstacle for use of AI in industrial settings. Companies worry about their competitiveness, which is why they want to protect their process knowledge. Regulations make it impossible or cumbersome to share certain data. Therefore, at Katulu, data sovereignty is built into every solution. With our platform, machine failure prediction models are trained in a decentralized manner. No sensitive data leaves the production environment. Our innovative approach enables continuous improvement of predictions without data exchange. That's a game changer in making your customers more competitive.
