Build Bayesian networks from data or manually. Perform advanced queries and analytics.
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Decision graphs (influence diagrams) enable the automation of decisions under uncertainty.
Build multi-variate time series models with Dynamic Bayesian networks
Advanced .NET & JAVA APIs. Integrates with Python, R, Matlab, Apache Spark & Excel functions.
Automatically discover structure within your data.
Perform backwards reasoning to diagnose faulty equipment or diagnose diseases.
Detect unusual behavior using advanced multi-variate anomaly detection techniques.
Automatically extract important information from data
Perform complex queries. E.g. P(X, Y[t=0], Y[t=3] | P(Z[t=2], A).
Query data in a spreadsheet or database, and evaluate model performance.
Easily navigate queries from large models and manage custom queries.
Generate sample data from a Bayesian network. Includes support for time series
Visualize queries across a number of dimensions.