Bayesian network & Causal AI software
Use data and/or experts to perform advanced AI: Automate decisions, perform diagnostics, reasoning, discover insight and perform causal analysis.
Artificial Intelligence software for reasoning, detection, diagnostics, automated decision making and causal inference.
Build data and/or expert driven solutions to complex problems using Bayesian networks, also known as Belief networks.
Our advanced technology is used in Aerospace, Defence, Automotive, Space, Engineering, Oil & Gas, Health, Finance and other advanced sectors.
Example use cases: Predictive maintenance, Anomaly detection, Smart manufacturing, Risk modeling, Smart Diagnostic/troubleshooting applications.
Instead of analyzing hundreds of charts, use automated descriptive analytics to enable the automatic extraction of significant insight from data.Read More
From diagnosing faulty equipment to identifying diseases from symptoms, build powerful diagnostics and reasoning applications.Read More
Bayes Server™ not only supports prediction based on complex and hidden relationships in data, but also allows reasoning from outputs to inputs, diagnostics, anomaly detection & time series.Read More
Bayes Server™ models can include costs and decisions, that make decision making possible when uncertainty is present (Decision Automation, Decision Graphs or Evidence optimization).Read More
In addition to an advanced User Interface, Bayes Server can be driven programmatically via a number of advanced APIs, that include all the features of the User Interface and more.
Reduce uncertainty when operating in complex environments with unknown or incomplete information, by the repeated use of AI guided questioning/sensing and updating beliefs based on responses. Build agents using data and/or experts that can then adapt when deployed.
Build solutions to troubleshoot and diagnose complex problems, such as aero-engines, gearboxes & patients.
Make rational cost based decisions in complex uncertain environments, such as those where communication is delayed or cut-off, or when AI can outperform humans in terms of accuracy/speed/cost.
Use advanced anomaly detection techniques to monitor complex data, such as sensor data or market data, to detect anomalous behavior and provide early warning of failure or other potentially catastrophic or costly events.
Move beyond Fault Trees, Event Trees, Bow-Tie models & FMECA toward sophisticated risk analysis approaches with Bayes Server.
Identify groups and relationships in data that were previously unknown.
Visit our aerospace & defense hub to learn more about solution areas and customers in this sector.
Visit our automotive hub to learn more about solution areas and customers in this sector.
Visit our energy hub to learn more about solution areas and customers in this sector.
Visit our healthcare hub to learn more about solution areas and customers in this sector.
We are working on specific content for many other industries. Please get in touch for more information.