Manual translation couldn't scale to thousands of pages. Now, AI handles 16M monthly requests in 240ms, automating entire websites.
A no-code translation platform serving over 55,000 customers globally, processing 16 million API calls per month for e-commerce and marketing sites.
E-commerce businesses needed to translate thousands of product pages and marketing updates monthly without backend technical knowledge. Manual...
“We made a simple solution. But customers were split in their needs. Let’s say 25% were coming to us to improve translation quality, consistency and management, twenty-five per cent for technical simplicity, another quarter want to boost multilingual SEO and for the rest it’s about budget.”
Weglot's Website translation is part of this use case:
AI-powered website translation SaaS for multi-language SEO and localization.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Related implementations across industries and use cases
Manual translation failed at 2.6M designs. Now, AI localizes listings after 100 views, scaling to 7 languages without adding headcount.
Complex coding excluded non-technical users. Claude now generates production-quality apps in 40+ native languages.
IT and security teams juggled 40 browser tabs and spent days provisioning access. Now, AI agents execute these workflows in minutes.
Manual translation failed at 2.6M designs. Now, AI localizes listings after 100 views, scaling to 7 languages without adding headcount.
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Manual translation couldn't scale to thousands of pages. Now, AI handles 16M monthly requests in 240ms, automating entire websites.
A no-code translation platform serving over 55,000 customers globally, processing 16 million API calls per month for e-commerce and marketing sites.
E-commerce businesses needed to translate thousands of product pages and marketing updates monthly without backend technical knowledge. Manual...
“We made a simple solution. But customers were split in their needs. Let’s say 25% were coming to us to improve translation quality, consistency and management, twenty-five per cent for technical simplicity, another quarter want to boost multilingual SEO and for the rest it’s about budget.”
Weglot's Website translation is part of this use case:
AI-powered website translation SaaS for multi-language SEO and localization.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Related implementations across industries and use cases
Manual translation failed at 2.6M designs. Now, AI localizes listings after 100 views, scaling to 7 languages without adding headcount.
Complex coding excluded non-technical users. Claude now generates production-quality apps in 40+ native languages.
IT and security teams juggled 40 browser tabs and spent days provisioning access. Now, AI agents execute these workflows in minutes.
Manual translation failed at 2.6M designs. Now, AI localizes listings after 100 views, scaling to 7 languages without adding headcount.
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.