CADIQ, a vendor-neutral application, identifies model-based design (MBD) data quality issues that impact downstream re-use for manufacturing, simulation, data exchange and collaboration. CADIQ enables you to validate critical engineering processes including engineering change, revision control and manufacturability.  Key capabilities of CADIQ include:

Derivative Validation – Identifying unacceptable differences between native and derivative models

Revision Comparison – Identifying unintentional or undocumented changes between revisions of a model

Quality Checking – Identifying significant defects in a native model that impact downstream re-use

CADIQ compares geometry, design features and product manufacturing information (PMI) between related models to identify significant differences. CADIQ also performs CAD assembly analysis, comparing CAD assembly structure. Results can be reviewed in the standalone CADIQ Viewer as well as summary text and statistical reports.


User-friendly 3D PDF reports are also generated for distribution across the enterprise. When design problems are diagnosed on the manufacturing floor, CADIQ can effectively communicate them back to engineering using the 3D PDFs. 

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Engineers responsible for long-term data archival and retrieval (LOTAR) use CADIQ to validate CAD models, i.e. neutral file conversions of 3D CAD models. If needed, additional data can be added to the archive, enabling comprehensive validation of the retrieved model in a future CAD system.

CADIQ is packaged for use in desktop or server environments, easily integrated into PLM workflow processes and embedded in interoperability automation solutions (i.e. DEXcenter).

CAD Model Validation

ITI’s product data validation solutions combine ITI’s leading expertise in interoperability improvement consulting with innovative validation technology. ITI helps customers develop processes to identify, manage and correct problems stemming from design quality and product data interoperability issues. Resolution of these challenges is critical to improve downstream product data re-use.

Examples of validation include:

  • Geometry that impedes re-use of models in Analysis and Manufacturing processes
  • Unrealistic modeling features requiring changes during CAE/CAM model re-use and divergence between the master product model and downstream CAx models
  • Unacceptable changes introduced during translation, migration, archiving or manual re-mastering
  • Undocumented changes between design revisions or for engineering change orders
  • Changes caused by complex parametric relationships unknown to CAD users
  • Changes to Assembly Product Structure models that were unanticipated

Long-Term Data Archival

CADIQ allows users to document quality defects in the design model and to set appropriate expectations for the re-usability of the archive data. It also enables users to verify that any derived forms of the design model are equivalent in quality and shape to the master model. If using STEP, validation properties can be added to the model for a future recipient to validate that a translated (imported STEP) CAD model is equivalent to the master model. These validation properties can also be used to verify the equivalence of any archive data format conversions required to maintain the archive over time.


Data Certification

CADIQ verifies that the design model has no quality defects that will impede anticipated downstream use of the model. It also verifies that derived forms of the design model (e.g. IGES, STEP, CAD translations) are equivalent in quality and shape to the master model. When using STEP, users can add validation properties to the STEP model, which can be used by the recipient to validate that a translated (imported STEP) CAD model is equivalent to the master model.

While CADIQ has always promoted Native System Interfaces as the most robust approach for validation, not all scenarios allow access to native CAD systems. This is especially true with smaller suppliers that must adhere to typical OEM partner mandates or quality specifications. These procedures often specify that converted forms of original CAD master models be properly validated to confirm that the original product design intent was not altered.


MBD Model Validation

Model-Based Design (MBD) model validation includes model-based engineering, model-based manufacturing and model-based sustainability. With the objective of the model being the master, users can minimize drawings and integrate into all phases of the product lifecycle. A Model-Based Definition (MBD) Model includes:

  • Structure
  • Geometry
  • Annotations (e.g. 3D PMI, GD&T, FT&A, etc.)
  • Model attributes
  • Domain-specific data

Why MBD Model Validation?

If the model is the master, then downstream modifications must be reconciled with the product design model. If you integrate all phases of the product lifecycle, then the design model must be re-usable in simulation, manufacturing, support, etc. There is a need for MBD Validation in the following scenarios:

  • Engineering changes
  • Legacy data migration
  • Supplier integration
  • Certified data delivery
  • Long-term archival
  • Product lifecycle sustainment