Reduce mantenance costs
Save time through efficient processes
Increase safety and reliability
Use state of the art clustering methods to integrate different data sources and derive business critical insights.
Deep Learning to learn (almost) anything
Utilize our cloud advantage to build and train deep learning networks for predictive maintenance.
Methods & Algorithms
Deep Convolutional Networks, LSTMs, Decision trees, Boosted Trees, Random Forests, Kernel based methods
Forecast and predict
Combine parametric and non-parametric (tree- and kernel based) forecasting algorithm to accurately predict system failures.
Plug&Play Transfer Learning
Utilize your data and save on model training time by reusing pre-trained models on different machinery.