SmartUQ has a library of a wide-range of scenario-tailored predictive models for solving a array of difficult problems. By overcoming many of the previous limitations in predictive analytics, our methods can tackle problems of much larger size and higher degree of complexity than previous tools.
SmartUQ can perform predictive analytic and Uncertainty Quantification tasks such as Statistical Calibration, Sensitivity Analysis, Inverse Analysis, and Uncertainty Propagation. Because the predictive model can quickly make predictions, you can get actionable results in record time.
With SmartUQ’s user-friendly GUI and award-winning training, your team of non statisticians can become empowered to build predictive models and perform analysis on their own. Thus, freeing your time to address more complex analytics problems.
With a full-feature Python API, you can automate repetitive tasks, develop custom workflows, and integrate SmartUQ’s technologies into your data analytics pipeline. SmartUQ API can also be easily integrated with internal and commercial analytics tools and has direct integrations with commercial simulation packages such as MSC Adams.
To learn more about UQ and predictive analytics, check out SmartUQ's white papers and webinars.
