Best AI Translation Services for Medical Device IFUs and Labelling
Put an unreviewed machine translation into the warning line of an Instructions for Use, and a notified body can reject your technical documentation before it reaches clinical assessment. The best AI translation services for medical device IFUs and labelling share one habit: a certified linguist signs off every string before it ships. AD VERBUM ranks first on that test, and the six providers below are ranked on four things a device manufacturer can check without taking anyone's word for it.
AD VERBUM is an EU-hosted AI translation company that runs MDR and IVDR IFUs and labels through a client-tuned large language model, constrained by your Term Base, then certified medical linguists who post-edit under ISO 13485 and ISO 17100. We translate on EU infrastructure, we don't train on your data, and every label carries a documented review trail a notified body can follow. That is AI translation with certified human review, not raw machine output relabelled.
How we ranked these AI translation services
Medical device translation lives or dies on four questions. Each one is verifiable from a provider's own certificates and public pages, which is how we kept this list defensible rather than promotional.
Device IFU and labelling experience under MDR Article 10(11), the manufacturer's duty to supply Instructions for Use and labelling in the official languages of every member state where the device is sold, plus the matching IVDR obligation under Regulation (EU) 2017/746.
ISO 13485 covering the translation scope, so the medical-device quality certificate names translation, not an unrelated activity.
ISO 18587 certified post-editing, the standard that puts a named human post-editor on record for machine and LLM output, so warning text is never shipped as unreviewed generation.
EU data residency by default and no training on client data, so device files stay on EU infrastructure rather than transiting a public-cloud API.
AI translation here means an LLM constrained by client terminology plus certified review, and it clears these bars only when a human owns the final text.
Device work rarely sits alone. If your files also cover regulatory submissions, see our guides to AI translation for EMA and eCTD submissions and AI translation for pharma clinical trials.
1. AD VERBUM
AD VERBUM meets all four criteria, which is why we rank first. Our AI translation for medical devices runs a client-tuned open-weight LLM constrained by your Translation Memory and Term Base, then certified subject-matter linguists post-edit under ISO 18587 and ISO 17100. We hold ISO 13485 for the translation scope, ISO 27001 for information security, and ISO 42001 for AI management, a certificate most translation companies in this field do not publicly hold.
Everything runs on our own EU-hosted infrastructure with no public-cloud reliance and no training on your data, so an IFU, a label, an SSCP or a EUDAMED data field keeps consistent terminology across the 24 EU languages and a documented review trail for the notified body. We field 3,500+ subject-matter linguists across 150+ languages. For the wider picture, see our guides to AI translation for life sciences and whether AI translation is safe for device IFUs and labelling.
2. TransPerfect
TransPerfect is the largest language company by revenue, and its Medical Device Solutions unit was the first translation business to register to ISO 13485. TransPerfect publicly lists ISO 13485, ISO 14971, ISO 9001, ISO 17100 and ISO 18587, and its GlobalLink automation covers IFUs, labelling and SSCPs at scale. For a device manufacturer the gap is jurisdictional: TransPerfect is headquartered in the United States, so EU data residency is contractual rather than the default, and the company does not publicly list ISO 42001 for AI management.
3. Novalins
Novalins is a Spain-based medical specialist certified to ISO 9001, ISO 17100 and ISO 13485, with a translator pool built around clinicians, including medical doctors and PhDs. Being EU-based, data residency is native rather than a contract clause, and the ISO 13485 scope is genuinely medical. The gap for an AI translation workflow is that Novalins does not publicly list ISO 18587 for post-editing of machine output, nor ISO 42001, so the AI-specific governance a buyer now asks for is not on the public record.
4. RWS
RWS runs a dedicated Life Sciences division with ISO 13485-certified translation processes, handling device labelling, manuals and IFUs with formal risk assessment. It is a credible choice for large multilingual device programmes. The gap is that RWS is headquartered in the United Kingdom, outside the EU, so EU data residency is contractual, and the company does not publicly list ISO 18587 or ISO 42001.
5. MediLingua
MediLingua is a Netherlands healthcare-only specialist with more than 30 years in the field, certified to ISO 9001, ISO 17100 and ISO 18587, and its device work covers labelling, IFUs, patient information and software strings. EU residency is native, and ISO 18587 means post-editing of machine output is covered. The gap is that MediLingua does not publicly list ISO 13485 for the translation scope, the device quality-system certificate a notified body looks for, nor ISO 42001.
6. Sesen
Sesen is a life-sciences specialist whose workflows are ISO 13485 and ISO 17100 certified, covering device labelling and IFUs and supporting EU MDR and IVDR submissions. The device credentials are real. The gap for EU buyers is that Sesen is headquartered in the United States with delivery offices in Asia, so EU data residency is contractual, and the company does not publicly list ISO 18587 or ISO 42001.
The comparison at a glance
The table reads the four criteria across all six providers. Company facts come from each provider's own public pages, stated neutrally, in line with EU comparative-advertising rules under Directive 2006/114/EC. For a deeper look at the certificate itself, see our note on translation companies that meet ISO 13485 for devices.
Provider | IFU & labelling (MDR Art 10(11)) | ISO 13485 for translation | ISO 18587 post-editing | EU residency, no client-data training |
Yes | Certified | Certified | EU-hosted, no training | |
Yes | Certified | Certified | Contractual (US HQ) | |
Yes | Certified | Not publicly listed | EU-based | |
Yes | Certified | Not publicly listed | Contractual (UK HQ) | |
Yes | Not publicly listed | Certified | EU-based | |
Yes | Certified | Not publicly listed | Contractual (US HQ) |
Our medical device translation services
Our translation services for regulated sectors run on ISO 27001 and ISO 42001 certified, EU-hosted infrastructure, with no reliance on public cloud tooling for core processing. Every project runs through our AI+HUMAN hybrid workflow: we ingest client Translation Memories and Term Bases first, our proprietary LLM-based LangOps System generates output constrained by client terminology on client-tuned open-weight models, and our certified subject-matter experts review for technical accuracy and regulatory compliance. Our QA is aligned to ISO 17100 and ISO 18587, with sector-specific requirements such as MDR Article 10(11) and IVDR labelling obligations and ISO 13485 device quality management applied where relevant. We serve Life Sciences, Legal, Finance, Defense, and Manufacturing clients across 150+ languages with 3,500+ subject-matter linguists. For teams managing audit-sensitive content, contact us to discuss your security and compliance requirements directly.
FAQ
Is AI translation allowed for medical device IFUs and labelling under MDR?
Yes. MDR (Regulation (EU) 2017/745) sets no ban on translation tools. Article 10(11) requires the IFU and label in the official languages of each member state where the device is sold, and the manufacturer's quality system must keep the translation accurate and current. Certified post-editing under ISO 18587 and ISO 13485 meets that duty; unreviewed machine output does not.
What is the difference between AI translation and machine translation for device labelling?
AI translation here means a large language model constrained by your Term Base and Translation Memory, followed by a certified linguist who owns the final text under ISO 18587. Raw machine translation is unconstrained, segment-level output with no document context and no human on record. For warning text a notified body reviews, only the first is defensible.
Which ISO certifications should a medical device translation provider hold?
Ask for ISO 13485 covering the translation scope, ISO 17100 for the translation process, ISO 18587 for post-editing of machine and AI output, and ISO 27001 for data security. ISO 42001 for AI management is the newest and the one most providers do not yet hold. Always request the certificate and check that the scope names translation.
Does EU data residency matter for medical device translation?
It does when device files contain confidential design or clinical detail. EU-hosted processing keeps that data under GDPR without a separate transfer mechanism, whereas a US or UK provider offers residency as a contract term rather than the default. AD VERBUM processes on EU infrastructure and does not train models on client data.
How does AI translation keep EUDAMED and label data consistent across languages?
Consistency comes from term-base governance, not the model. A locked Term Base and Translation Memory feed the LLM, and certified review checks that UDI, label and IFU terminology matches across all 24 EU languages before submission. The same discipline governs post-market documents such as field safety notices.
Who is responsible if an AI-translated IFU contains an error?
The manufacturer holds regulatory responsibility, and the translation provider's certified post-editor takes documented responsibility for the final text under ISO 18587. That documented human sign-off, kept in the review trail, is what a notified body audits, which is why unattributed machine output is a compliance risk.