Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
A global localization platform enables software teams in finance, healthcare, and technology to deliver content across multiple languages.
Customers needed faster expansion into new markets, but existing machine translations struggled with context and nuance in complex language pairs...
“Our journey with AI started with helping customers get translations faster and more cost-effectively, but we soon realized that quality matters just as much.”
Continuous localization and translation management platform for digital products.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Lokalise's Automated translation is part of this use case:
Related implementations across industries and use cases
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Isolated tools bottlenecked remote work. Now, Slack emojis trigger code merges and prototypes launch live in customer calls.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Search failed on local slang across 3.5M items. AI now interprets dialects with 92% accuracy and cleans database spelling.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
A global localization platform enables software teams in finance, healthcare, and technology to deliver content across multiple languages.
Customers needed faster expansion into new markets, but existing machine translations struggled with context and nuance in complex language pairs...
“Our journey with AI started with helping customers get translations faster and more cost-effectively, but we soon realized that quality matters just as much.”
Continuous localization and translation management platform for digital products.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Lokalise's Automated translation is part of this use case:
Related implementations across industries and use cases
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Isolated tools bottlenecked remote work. Now, Slack emojis trigger code merges and prototypes launch live in customer calls.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Search failed on local slang across 3.5M items. AI now interprets dialects with 92% accuracy and cleans database spelling.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.