We are productizing innovative machine learning algorithms for automated anomaly detection and fault diagnosis in multi-sensor systems. We detect anomalies in multivariate time series data using various techniques, including neural networks in Tensorflow, Fourier transform analysis, regression models, invariant inference and various statistical methods. We write production code in Python and in the future we will also build a top-notch web graphical user interface for the whole system.

If you want to become a part of the machine learning revolution, join our team!


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