AI-Assisted Validation of Mechanical Construction Data in Siemens NX
For a private client, we delivered a Siemens NX and AI–based solution designed to improve the verification and validation of mechanical construction data. The project focused on supporting engineering teams by automating complex validation tasks and reducing manual review effort across large and highly detailed assemblies.
Over a 12-month development period, inteliScience designed and implemented an AI assistant capable of analyzing and cross-checking engineering data from multiple sources. The system verifies construction data by comparing validation XML files with corresponding 3D PDF models, ensuring consistency, completeness, and compliance with defined engineering rules.
The AI assistant integrates directly into Siemens NX workflows and supports mechanical engineers during design reviews and release processes. By automatically detecting deviations, missing parameters, and structural inconsistencies, the solution significantly improves accuracy while reducing validation time.
Key highlights of the project include:
- AI-driven verification of mechanical construction data using validation XML and 3D PDF sources.
- Seamless integration into Siemens NX engineering workflows.
- Automated consistency checks to identify deviations and missing information early.
- Reduced manual effort in design validation and review processes.
- Improved data quality and reliability for downstream engineering and manufacturing steps.
This project demonstrates how AI can be applied effectively in mechanical engineering environments, transforming traditional validation processes into scalable, reliable, and intelligent systems. With a strong focus on clean engineering and practical usability, the solution enables engineering teams to work faster and operate with greater confidence in their data.