Zementis is an execution engine for Predicative Analytics, Machine Learning and Deep Learning models based on the PMML (Predictive Model Markup Language) standard.
With Zementis, deploy one or many predictive models created with languages or frameworks like R, Python, SPSS, SAS, Spark, Keras or Tensorflow. Score your data in real-time using Web-Services, or use Zementis Server in batch mode for Big Data scoring directly from your local file system or an Amazon S3 bucket. Besides classic machine learning models like regression models, Classification Trees, Random Forests or Support Vector Machines, Zementis also supports the execution of various Convolutional Neural Network architectures.
Zementis comes with model management capabilities to manage the entire model lifecycle and to visualize model performance and infrastructure-related model KPIs.