AI
inteliScience is specialized in the Siemens NX ecosystem – from NXOpen automation and design engineering to Teamcenter and PLM. We don’t do a bit of everything; we go deep where it matters, so engineering teams get partners who actually understand their tools and workflows.
We combine that engineering depth with focused AI expertise. Our approach is deterministic first: solid algorithms and your company-specific rules form the foundation, with AI applied only where it genuinely adds value – never as a black box. That’s the thinking behind Vision4NX, our automation platform built directly into Siemens NX.
Automate the repetitive engineering workflows that eat up your team’s time – modeling, checking, documenting. Deterministic rules and your company standards form the foundation, with AI applied only where it genuinely adds value. The result: faster throughput and engineers who focus on design, not routine.
In-context assistants that answer NX questions and surface the right command the moment your engineers need it. Built on your own documentation and workflows rather than generic guesswork, they shorten onboarding for new users and keep experienced ones focused on the design instead of searching through manuals.
Accelerate recurring modeling with AI-assisted geometry generation, grounded in your standards and always validated by deterministic rules. The AI handles the repetitive groundwork; your engineering logic stays in control – so you gain speed on standard parts without giving up precision or traceability.
Our team has built PMI rule sets for more than 300 designers in automotive. Read the case study
They carry the scope of a former ten-engineer setup for an automotive mold maker. Read the case study
Vision
Technology
We’re specialized in the Siemens NX ecosystem – NXOpen automation, Teamcenter, PLM, and AI applied to real engineering workflows. Rather than a general software shop that touches many tools, we go deep where it matters, so engineering teams get a partner who understands their environment and their challenges.
Our approach is deterministic first. Solid algorithms and your company-specific rules form the foundation; AI is applied only where it genuinely adds value – and always in a way you can trace. You stay in control, and every result can be checked against your standards. That’s the principle behind everything we build, including Vision4NX.
Yes. For sensitive CAD and engineering data, we deploy on-premise or within your own environment, so nothing leaves your infrastructure. We design around your IT and data-protection requirements from the start – a key reason engineering companies across the DACH region work with us.
No. Engagements scale from a single automated use case to a full deployment. Most teams start small – a workshop or a proof-of-value on their own data – and expand once they see the results.