One governed AI platform for regulated content across all of Siemens Healthineers.
Siemens Healthineers already runs regulated content through LILT, from IFUs and operator guides to release notes, in 27 languages, with roughly 90% translation-memory leverage. This is how you extend that to every business unit: one governed, AI-native platform for XML and DITA content, with adaptive models trained on your terminology, in-country review, and the compliance rigor a MedTech leader requires, so quality and savings compound with every release.
Lex Asselta
Your Enterprise Account Executive
Samantha Bleakley
Your Customer Success Manager
Use cases
How Siemens Healthineers wins with LILT
Regulated device content
Localize IFUs, operator guides, and release notes with reused, approved terminology, the workflow already proven on IMMULITE and VersaCell.
Built for XML and DITA
Native handling of your XML and DITA operator-guide packages, with do-not-translate tags preserved and shown in context, so structure and traceability metadata stay intact.
Expand to every business unit
Take the same platform from Diagnostics to Ultrasound, Imaging, and beyond, one governed standard instead of a vendor per team.
In-country review, coordinated
Manage in-country reviewers by language with advance heads-up, availability tracking, and third-party review only where needed.
New-market expansion
Stand up net-new languages such as Danish for VersaCell quickly as you enter new markets, with glossary and in-country review built in.
Compliance and regulatory deadlines
Meet regulatory milestones such as the EU Data Act with auditable, on-time, on-terminology multilingual content.
Built for regulated MedTech
Audited and compliant
LILT passed the Siemens supplier quality audit. ISO-certified processes, responsible-AI policies, and a full audit trail for regulated content.
Your content stays yours
Custom models trained only on your content and excluded from anyone else’s model training, with role-based access and secure deployment.
One governed source of truth
One glossary, style guide, and translation memory per business unit, with real-time quality analytics and word-prediction accuracy by language pair.
You own your TMs
Your translation memories are realigned, reusable, and portable, an asset that compounds savings rather than a vendor lock-in.
CUSTOMER STORIES
Proven in regulated and life-sciences content
62%
Faster delivery on translation projects
How Boston Children’s Hospital scaled safe healthcare translation
An EPIC-integrated workflow eliminated clinical overhead and achieved a 6.2x increase in translated discharge instructions, delivering critical medical data in as little as 40 minutes to ensure a do-no-harm approach to patient safety.
Suvoda localizes faster and more efficiently with LILT
"In comparison to where we were versus where we are now, we are in a better spot on efficiency and costs. This was an amazing decision to partner with you guys." Technical Localization PM, Suvoda
60%
Faster turnaround
Lenovo scales global content with custom AI
Lenovo cut translation costs by 50% and built 60+ custom models across content types, accelerating turnaround while keeping quality high.
One AI-native platform, not a legacy LSP
Traditional life-sciences LSPs like RWS run on static engines and translation memory you cannot fully control. LILT is one AI-native platform where adaptive models learn from every reviewer edit in real time, you own your translation memories and terminology, and quality and cost improve with every release.
Adaptive AI
Translation management
AI re-training
AI choice
Pricing
Supply chain observability
Built for how Siemens Healthineers works
Your teams do not need another silo. LILT fits the regulated content pipeline you already run.
XML and DITA handling
Ingest your XML and DITA operator-guide packages directly, with a custom filter that preserves do-not-translate tags and shows placeholder context to linguists and reviewers.
100+ connectors, API, and secure delivery
Connect your content and authoring systems, or move files securely, with about 80% of LILT work flowing through connectors rather than manual handoffs.
AI assistants via LILT MCP
Request translations and check status from the AI assistants your teams use, with brand and terminology governance built in.
