Ansys TwinAI
AI-Powered Digital Twin Software

Multiple ROM generation techniques—including state space, electrical circuit equivalent, singular value decomposition (SVD), and modal response—support a range of analysis requirements, whether linear or nonlinear, steady-state, or transient.

Stochastic methods and uncertainty propagation help quantify uncertainty on parameters and outputs. This feature supports offline (driven by Ansys TwinAI) and online (driven by the IIoT platform) scenarios for parameter calibration. Fusion Modeling accurately models the residual between the model and prediction, allowing users to capture and include any remaining or missing physics into the digital twin.

The Functional Mock-up Interface (FMI) Composer enables the creation and parameterization of model components compliant with the FMI standard, simplifying model exchange across various tools and platforms.

This feature allows users to import existing models quickly, incorporate test data for validation, and facilitate post-processing.

Users can create custom blocks for tasks such as pre-processing, post-processing, and custom simulations, enhancing flexibility and functionality.

Users can also compile for their specific environment to export and deploy. This ensures broad accessibility and flexibility for users working in diverse computing environments.

Develop quick web application prototypes by exporting web apps from Ansys TwinAI to view and interact with simulations in a browser. Easily export a deployable container from Ansys TwinAI that contains a sample Python client application, demonstrating the usage of all APIs.

Export your data to generate portable, cloud-deployable twins for Microsoft® Azure® IoT, Microsoft Azure Digital Twins, PTC ThingWorx®, Automation Emulate 3D, and Rockwell Studio 5000. The Ansys DT SDK enables digital twin testing and deployment on nearly any platform, making it platform agnostic.

The license-free SDK helps seamlessly integrate various software and platforms in production environments on the cloud and on the edge. The REST API and SDK allow for the smooth integration of other software components, third-party services, and IIoT platforms, ensuring scalability and interoperability. Containers with dependencies provide a uniform and portable environment that can be deployed across several platforms and operating systems, providing easy deployment and scalability.