SparkCognition's Darwin™ is an automated machine learning (AutoML) product that empowers you with the right set of tools to quickly prototype use cases and achieve results faster than traditional data science methods. Darwin accelerates data science at scale, enabling you to assess the quality of your dataset and advising you on how to fix problems to make it suitable for the model-building process. Darwin then automates time-consuming tasks that range from model creation and optimization to model deployment and continuous maintenance. Darwin uses a patented neuroevolutionary approach to custom-build models that perfectly fit your data, resulting in superior levels of accuracy and performance. Through this blend of evolutionary algorithms and deep learning methods, Darwin accelerates the iterative improvement of models while allowing different degrees of control for customization.
SparkPredict® uses sophisticated algorithms to prevent asset failures, reduce maintenance costs, and improve system efficiency. Next-generation AI-driven prognostics learn from sensor and control system data to better understand the future behavior of each asset. The algorithms then raise alerts for sub-optimal operations and identify impending failures long before they occur. Unlike traditional prognostics methods, SparkPredict® enables truly predictive capabilities to deliver millions of dollars in cost savings and operational efficiency improvements to machine operators. This not only provides more time for maintenance, but also allows for root cause analysis at an extremely granular level.