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A few years ago, a US engineering software company contacted us about localizing their software and website. They had an industry-leading product and were working with a language service provider. European sales should have been strong.
In fact, they were struggling.
Engineer customers kept sending them the same feedback: there was inconsistent terminology used across the UI and technical documentation. When the software used one term and the manual used another, engineers noticed immediately.
Their response: “If you can’t maintain terminology consistency, how can we trust your specifications?”
The problem was that the LSP this company was using had been assigning different types of content to rotating translators, and machine translation was enabled by default. Over time, the translation memory became polluted with terminology variations that all sounded fluent but weren’t consistent.
When you’re selling to engineers, that inconsistency destroys credibility faster than any actual error would.
Engineers don’t use software the way consumers do. They’re not looking for simplified language or user-friendly alternatives to technical terms. They’re looking for precision that aligns with the way they actually work.
When a mechanical engineer opens CAD software, they expect “tolerance,” “clearance,” and “constraint” to match the exact terminology used in their technical specifications and training materials. When a control systems engineer reviews an HMI interface, they expect “setpoint,” “feedback loop,” and “PID controller” to be consistent with industry standards.
If your UI says “positioning accuracy” and your technical manual says “placement precision,” engineers will notice. Not because either term is wrong, but because the inconsistency suggests you don’t understand your own product well enough to maintain terminology control.
We’ve seen this across years of engineering software localization work. When terminology drifts, engineers question your technical credibility.
Here’s what happened with that engineering software company: One translator accepted an MT suggestion for a term in the UI. Weeks later, another translator working on documentation got a different MT suggestion for the same concept.
The machine translation output sounded fluent, so it didn’t trigger the same careful review that any obviously awkward phrasing would. The text read smoothly, so it got approved.
Each variation sounded professional and was technically defensible, so working to tight deadlines, that smooth-sounding automated output moved through the process without the terminology validation that technical content actually demands.
The inconsistency only became visible when engineers used both the software and the documentation together – and realized the terminology doesn’t align.
That’s how credibility is eroded. Not through dramatic errors, but through small variations that compound across content types and updates, and over time.
Engineering companies face a specific localization challenge. They need both technical documentation and marketing materials translated, but those two content types require very different approaches, while always maintaining absolute terminology consistency.
We’ve worked with industrial automation manufacturers on both technical documentation and marketing materials. The challenge doesn’t just lie in translating spec sheets and user manuals. It lies in ensuring that when marketing content describes precision capabilities, those capabilities are documented using identical terminology in the technical specifications.

Because engineers read both. So if the terminology doesn’t align between your marketing brochure and your technical manual, they question whether your marketing team actually understands the product.
Your marketing materials can be more engaging, more benefit-focused, and more accessible to non-technical decision-makers, but core technical terms need to stay consistent. When your website describes “closed-loop control,” your HMI interface can’t label it “automatic feedback system” – even if both descriptions are technically accurate.
That level of consistency calls for more than a translation memory. It calls for translators who understand which terms are fixed (because they’re technical standards or product-specific terminology) and which terms are flexible (because they’re marketing language that can be adapted for tone).
It requires an understanding of the technology, not just the language.
For that US engineering software company, rather than replacing their LSP, the solution was restructuring the way the localization work was assigned and validated.
We worked with their in-country reviewers to clean up the existing glossary and create a style guide that distinguished between fixed technical terminology and flexible marketing language. Rather than jobs being assigned on a rotating basis, the same vetted translators handle all content types: UI, documentation, support materials and marketing.
Machine translation is still available, but only as a reference. Every terminology choice gets validated by translators, who understand the technical context and have internalized the controlled glossary.
The result: engineers in European markets stopped questioning the product’s technical credibility. Sales improved because the localization no longer created friction with the audience that mattered most.
If you’re evaluating language service providers for engineering software or industrial automation, here’s what matters:
Ask about translator assignment processes. Do they rotate translators across projects, or do they build dedicated teams for specific clients? Consistency requires continuity.
Test their understanding of technical terminology. Can they explain why certain terms need to stay fixed while others can be adapted? Do they know the difference between ISO-standard terminology and product-specific language?
Request examples of terminology management. How do they prevent MT-driven terminology drift? What validation processes are in place to ensure that the UI, documentation, and marketing materials use consistent terms?
Look for experience with engineering audiences. Have they worked with CAD software, simulation tools, industrial control systems, or technical documentation before? Can they demonstrate an understanding of how engineers evaluate technical credibility?
Generic translation skills won’t be able to rise to the engineering software localization challenge. You need partners who understand that in technical contexts, consistency matters as much as accuracy does.

When engineering software localization is done right, terminology inconsistencies don’t get flagged by your in-country engineering reviewers. Your training sessions run smoothly because the UI matches the technical documentation. Your customer support team doesn’t have to field questions about confusing language differences across materials.
Your engineering audience trusts the product because the language used demonstrates that you understand their work and maintain the same precision they demand in their own specifications.
That’s the difference between translation that converts text, and localization that builds credibility with technical audiences.
If your product serves engineers, automation specialists, or technical professionals, then your localization partner needs to understand more than the languages involved. They need to understand the technology and the audience expectations that come with it.
Let’s talk. We’ve spent years working with engineering software companies and industrial automation manufacturers. We’d be happy to discuss how that experience could apply to your localization challenges.