ClearVu Intelligence (CVI) provides tools for predictive modelling, optimisation and structured analytical workflows.
This guide introduces CVI's main capabilities and directs you to the relevant documentation, examples and tutorials.
CVI enables users to train, evaluate and compare predictive models using their own datasets.
Typical workflows include:
Preparing and importing data.
Creating and configuring models.
Training models using available modelling methods.
Evaluating model quality and performance.
Using trained models to generate predictions.
Documentation: CVI Developer Documentation
Refer to the documentation for Python API references, model configuration options and practical examples.
ClearVu Design Spaces (CVDS) provide structured optimisation workflows built on the CVI analytics engine.
Design Spaces can be used to:
Define input parameters and constraints.
Configure objectives and evaluation functions.
Explore possible solutions.
Run optimisation workflows.
Analyse and interpret results.
Design Spaces may include predefined industry-specific configurations or customised client implementations.
Documentation: Design Spaces Developer Documentation
The CVI AutoML plugin integrates automated machine learning directly into Ansys optiSLang workflows.
It automatically trains, evaluates and selects predictive models from a range of modelling methods, helping users build accurate metamodels with minimal manual configuration.
Typical workflow
Install and activate the CVI AutoML plugin.
Enable CVI within your optiSLang project.
Configure modelling inputs, outputs and methods.
Run automated model training and evaluation.
Review model performance and use the resulting metamodel in your workflow.
Video Tutorial
Our introductory video demonstrates how to enable the plugin, configure modelling methods, run training and interpret the results.
Watch the CVI AutoML Video Tutorial
Additional resources
Installation and licence activation — See CVI — Overview & Getting Started.
Getting Started Guide — [LINK TBC]
Compatibility — Ansys optiSLang 26.1. Compatibility with other versions has not been validated.
The CVI graphical interface allows users to configure and execute analytical workflows without writing Python code.
Typical use cases include:
Exploratory modelling.
Visual configuration of analyses.
Demonstrations and collaborative analysis.
Resources
GUI User Guide — [LINK TBC]
Examples and Tutorials — [LINK TBC]
The Excel plugin enables spreadsheet-based workflows to interact with CVI's analytical capabilities.
Typical use cases include:
Working with spreadsheet inputs and outputs.
Exploring modelling scenarios.
Sharing results with non-technical stakeholders.
For detailed configuration instructions, code examples and API guidance, refer to the relevant technical documentation.
Resource | Link |
|---|---|
CVI Developer Documentation | |
Design Spaces Documentation | |
CVI AutoML Tutorial | |
CVI AutoML Getting Started Guide | [LINK TBC] |
GitHub Repositories & Examples | [LINK TBC] |
Some resources may require authentication or additional access permissions.
For questions about CVI functionality, configuration or integrations, visit the Terra Quantum Help Centre.
You can browse product documentation, explore troubleshooting articles or use our AI-assisted support widget.
If additional assistance is needed, our Support team can help.
Alternatively, email [email protected].
Related articles
Overview & Getting Started
Troubleshooting & FAQs
Licensing & Access
Contacting Support
