Our AI solutions help travel and hospitality organizations keep multilingual content current at scale, without losing control of quality, tone, or compliance. We combine machine translation, CAT and QA tools, and your existing language assets inside a secure, cloud-based environment, so you can speed up routine translation, clear backlogs, and focus your people on the high-impact work that really needs their attention.
AI solutions you can rely on time after time
Partners who love our AI support:

Our AI tools that can take you to the next level
Machine translation
Quality assurance
Why hotels cruises airlines attractions love our AI powered solutions
When it comes to our AI-powered language solutions, we believe adoption and success all comes down to one thing: customer agency. Our customers maintain full control over the tools deployed across each project. Our modular approach allows you to test and scale localizations at low-cost and zero risk.

Why hotels love our language AI

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Why airlines love our language AI
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How our AI can help you
40+ MT tools and LLMs
Different languages, content types, and data assets call for specific MT engines and LLMs. With over 40 engines to choose from, we’ll guide you to and tailor the best fit for your needs on a project-by-project basis.
- AISA: Neural Machine Translation API (6 models)
- Alibaba Cloud: E-commerce Edition (45,161 models)
- Alibaba Cloud: General Edition (2 models)
- Amazon: Document Translate (150 models)
- Amazon: Translate (5,700 models)
- Anthropic: Claude-2 and Claude-3 models (1,482 models)
- Apptek: Neural Machine Translation (50 models)
- Baidu: Translate API (756 models)
- DeepL: API v1 (1,122 models)
- DeepL: API v2 (1,122 models)
- Elia: Elhuyar machine translation system (30 models)
- Fujitsu: Zinrai (1 model)
- Globalese: Machine Translation (0 models)
- Google: MT via Google PaLM 2 (1,406 models)
- Google: MT via Google PaLM 2 (text-bison) (1,406 models)
- Google: Vertex (1,806 models)
- Google: Vertex via chat-bison (1,806 models)
- Google: Vertex via Gemini models (1,806 models)
- Google: Vertex via text-bison (1,806 models)
- Google: Vertex via text-unicorn (1,806 models)
- Google Cloud: Adaptive Translation (0 models)
- Google Cloud: Advanced Translation API (18,360 models)
- Google Cloud: AutoML Translation API (0 models)
- Google Cloud: Basic Translation API (18,360 models)
- GTCOM: Yeecloud Machine Translation API (6 models)
- IBM Watson: Language Translator Service v3 (120 models)
- iFLYTEK: Open Platform (72 models)
- Kakao Developers: Translation API (342 models)
- Kawamura International: NMT powered by NICT (930 models)
- Kingsoft: AIDAtrans Translation API (56 models)
- Lesan: Translation Service (6 models)
- LINDAT: Machine Translation (42 models)
- LingvaNex: Neural Machine Translation (11,772 models)
- Meta AI: Llama-2 (llama-2-70b-chat-hf) (0 models)
- Microsoft: Azure OpenAI MT via ChatGPT 3.5-Turbo (0 models)
- Microsoft: Azure OpenAI MT with custom model (0 models)
- Microsoft: Translator API v2.0 (SMT) (14,520 models)
- Microsoft: Translator API v3.0 (18,360 models)
- Mirai: Translator (48 models)
- ModernMT: Human-in-the-loop (40,200 models)
- Naver: Cloud Web API (12 models)
- Naver: Papago NMT API (36 models)
- Naver: Papago NMT Commercial (36 models)
- NiuTrans: Xiaoniu Translation Cloud Platform (144,780 models)
- NTT Com: COTOHA Translator (1 model)
- OpenAI: MT via GPT-3.5-Turbo (1,482 models)
- OpenAI: MT via GPT-4 (1,482 models)
- OpenAI: MT via GPT-4 Turbo (gpt-4-1106-preview) (1,482 models)
- OpenAI: MT via GPT-4 Turbo (gpt-4-turbo-preview) (1,482 models)
- OpenAI: MT via GPT-4 with long context (1,482 models)
- OpenAI: MT with custom model (1,482 models)
- Oracle Cloud: Language Service Translation (600 models)
- Pangeanic: Machine Translation API (3 models)
- Process 9: MoxWave (12 models)
- Prompsit: Translate API (15 models)
- PROMT: Cloud API (242 models)
- RoyalFlush: Translate (132 models)
- Rozetta: T-400 (54 models)
- RWS: Language Weaver API (4,032 models)
- SAP: Document Translation (108 models)
- SAP: Translation Hub (1,722 models)
- SDL: Enterprise Translation Server (106 models)
- SDL: Language Cloud Translation Toolkit (106 models)
- smartMATE: Translate (51 models)
- SYSTRAN: Translate PRO (377 models)
- Tarjama: Arabic MT (0 models)
- Tencent Cloud: TMT API (162 models)
- Tilde: Machine Translation API (76 models)
- Ubiqus: Neural Machine Translation (1,406 models)
- XL8: Machine Translation (32 models)
- Yandex Cloud: Translate API v1 (7,832 models)
- Yandex Cloud: Translate API v2 (10,302 models)
- YarakuZen: AI Translation (702 models)
- Youdao: Cloud Translation API (12 656 models)
AI FAQs
No. You choose where AI translation is used. High-value or sensitive content can remain fully human-translated, while suitable content types use AI within agreed workflows.
AI is used to increase speed and capacity, not to lower quality. Human linguists, translation memories, and terminology management remain central to every localization workflow.
Yes. All AI-assisted localization runs inside Global Lingo’s secure, cloud-based environment and follows the same ISO 27001 information-security standards as human-only projects.
Yes. Most clients begin with a limited set of AI use cases, measure the results, and expand once they are confident in the quality and process.