Build Bayesian networks from data or manually. Perform advanced queries and analytics.
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Visualize the structure of your data using compact view and groups.
Visualize the strength of connections in your network.
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.