A Decision Making Support Solution for Process Management and Product Design
Digital Transformation Made Easy
Digital Transformation, Simple as 1-2-3
Physics-based Machine Learning
No-Code ML Development
Digital Twins from Data and Simulation
Optimization and Enhanced Decision Making
Customized Decision Step Identification
Warnings through Actionable Insights
Action Suggestions through Suggestions
Develop Physics-based Machine Learning Models from test and simulation data, real-time or offline with high efficiency
A complete set of tools to perform enhanced decision-making such as Uncertainty Quantification or Sensitivity Analysis
Perform quick design iterations with ML models generated. Observe behavioral changes in design and take quick actions.
Develop Digital Twins for complex systems with the use of real-time data and physical modeling of the system.
A comprehensive optimization toolbox to perform both gradient-based and derivative-free optimizations.
Connect multiple Digital Twins and Physical Twins to create a real operational environment and monitor critical parameters