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01Engineering & Process Automation

Engineering workflows, engineered.

CADOVIX builds custom automation that connects CATIA V5, SOLIDWORKS, Excel and engineering data, turning repetitive design and documentation work into consistent, traceable processes.

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automation-pipeline.schematic
Schematic of an engineering automation pipelineSources on the left (CATIA V5 model, SOLIDWORKS assembly, Excel table) feed a rule engine in the middle, which produces drawings, a bill of materials and a validation report on the right.SourcesEngineOutputsCATIA V5 model.CATProduct · treeSOLIDWORKS asm.SLDASM · propertiesExcel table.xlsx · parametersRule enginemap · validatetransformDrawingstitle blocks · PDFBill of materialsstructured · .xlsxValidation reportper rule · traceable

Read: structure, parameters and properties are extracted from the CAD models and spreadsheets through their APIs.

  • /01Requirement analysis before any code
  • /02NDA before project details
  • /03Synthetic data in every demonstration
  • /04Validated before handover
02Where automation applies

Repetitive work exists at every stage of product development.

The same structured operations recur from first design to manufacturing handover. These are typical candidates for automation, identified per project in an analysis of the actual workflow.

  1. STAGE 01

    Design

    • Parameter-driven variants
    • Standard part insertion
  2. STAGE 02

    Detailing

    • Property & naming rules
    • Structure consistency
  3. STAGE 03

    Documentation

    • Drawing & title block generation
    • Batch exports
  4. STAGE 04

    Release

    • Pre-release validation
    • Revision consistency
  5. STAGE 05

    Handover

    • BOM to Excel / ERP formats
    • Reports & traceability
03Capability areas

From a single macro to an integrated workflow.

Each area links to a detailed page with technologies, typical deliverables and the way a project is set up.

Also available on request:Consulting, standardization & training

04Interactive demonstration

Run a structure check yourself.

A simulation of rule-based validation on a synthetic assembly. It shows the method an automation follows; it does not connect to any CAD system.

Structure & Property ValidationSIMULATIONRuns in your browser · synthetic data · does not run CATIA V5 or SOLIDWORKS
  1. 1 Load
  2. 2 Check
  3. 3 Review
  4. 4 Apply
  5. 5 Report

StructureASM-1000

  • ▾ ASM-1000Frame assembly
    • PRT-1001Base plate · S235JR · A
    • PRT-1002Side rail · — · A
    • ▾ SUB-1100Bracket group
      • PRT-1101Bracket · S235JR · A
      • prt_1102bracket-2 · S235JR · A
    • PRT-1003Cover · AlMg3 · A

Findings—

Run the check to validate 5 parts against 3 sample rules: part-number pattern, mandatory material, drawing/model revision match.

Ready · 5 parts loaded
What you seeA rule set checks a synthetic structure and proposes corrections, with every change listed.
What a real implementation doesReads the actual CAD data through the system's API, applies agreed rules and writes changes only after an engineer has approved them.
What it is notNot a result from a client project and not a measurement of time savings.
Open the demonstration page
05Manual vs automated

The same task, structured differently.

A schematic comparison of how a recurring check is done by hand and with automation. Actual effort depends on the workflow and is assessed in each analysis.

Manual

repeated per file
  1. Open file
  2. Read property
  3. Compare
  4. Correct
  5. Save

repeat for every file · ×N

Each file is handled individually; consistency depends on the person and the day.

Automated

defined once, run on all
  1. Define rulesonce
  2. Batch runall files
  3. Review reportengineer decides
  4. Applytraceable

rules versioned · results reproducible

Rules are explicit and versioned; people review results instead of repeating steps.

07Engineering approach

Specified, built and validated like any engineering deliverable.

Five steps with a defined output each, so that scope, risk and acceptance are clear before implementation starts.

  1. Analysis

    Current workflow, data, standards and constraints.

    → requirement summary

  2. Feasibility

    Technical options, risks and a recommendation.

    → feasibility note

  3. Implementation

    Built against the agreed specification.

    → working tool

  4. Validation

    Tested on representative data before use.

    → test record

  5. Handover

    Documentation, training and source code as agreed.

    → documentation
Read about the engineering approach →
08Technologies

Built on the tools engineering already uses.

09Confidentiality

Your engineering data stays yours.

  • An NDA can be signed before any project details are shared.
  • Demonstrations use synthetic data only.
  • Ownership of code and deliverables is defined in writing.
10Next step

Describe a recurring engineering task. Every project starts with an analysis.

Request a ConsultationDiscuss your project