Inetum
Multilingual collaboration
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
- 350+ employees supported by multilingual AI
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
A global hospitality enterprise relies on multinational meetings to collaborate with subject-matter experts across various linguistic regions, including Mandarin-speaking specialists in China.
Traditional interpretation routinely stretched standard 60-minute meetings to 90 minutes or more, causing scheduling delays and translation fatigue....
Food service, facilities management, and uniform provider for global industries.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Related implementations across industries and use cases
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Manual screening for 160K hires bottlenecked 20 recruiters. Now, an AI agent screens candidates via text and fills managers' calendars.
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
A global hospitality enterprise relies on multinational meetings to collaborate with subject-matter experts across various linguistic regions, including Mandarin-speaking specialists in China.
Traditional interpretation routinely stretched standard 60-minute meetings to 90 minutes or more, causing scheduling delays and translation fatigue....
Food service, facilities management, and uniform provider for global industries.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Related implementations across industries and use cases
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Manual screening for 160K hires bottlenecked 20 recruiters. Now, an AI agent screens candidates via text and fills managers' calendars.
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.