AI-powered localization just became multilingual on a massive scale

Translated has expanded its flagship AI translation tool, Lara Translate, to support the 32 most widely spoken languages worldwide. Arabic, Hebrew, Japanese, Korean, Thai, Malay, and Indonesian are now included—bringing its coverage to over 2.8 billion native speakers.

But this isn’t just another language pack update. It marks a shift in how teams translate, share, and scale multilingual content—without losing the human touch.

Train it once. Use it everywhere.

The new Team plan enables organizations to build a shared AI model using their own translation memories—fine-tuning Lara to reflect company tone, terminology, and intent. Teams across departments can now use the same voice, whether they’re localizing ads, preparing internal docs, or adapting global campaigns.

The onboarding process is straightforward. You don’t need to be a Translated customer to start. Upload your language assets, or request support to generate them from previously approved content. Your model stays private, with no data used to train other systems.

Meet Lara Agent: Smart, fast, and collaborative

Launched alongside the Team plan, the Lara Agent is a generative AI assistant designed to automate localization workflows. It handles requests like:

• “Translate this file into Tier 1 languages” 
• “Adapt the model to this dataset” 
• “Create a JSON file for development” 

Lara Agent already works in Claude Desktop and Cursor, with more platforms to follow. It’s also part of the Model Context Protocol (MCP)—a shared standard that allows agents to collaborate across environments. The response has been strong: Lara Agent received more MCP downloads in 24 hours than Translated’s API and SDK did in two months.

From content to CMS: Full-scale localization

For larger teams, Lara integrates with TranslationOS—Translated’s AI-first localization platform. Paired with the new Contentful connector, it allows users to send content directly from the CMS for instant translation and return. No manual exporting. No formatting headaches.

Global players like Skyscanner and Asana are already using it to streamline multilingual content pipelines—ensuring that updates happen faster, with greater consistency across languages.

Driven by research. Built for the future.

Behind the tech is a team pushing the limits of what language AI can do. At ICLR 2025, Translated researchers presented their latest work on deep learning and scalable reasoning. This month, they’ll join the NLP community at NAACL 2025, continuing to shape how AI understands and communicates across languages.

Lara Translate isn’t just growing—it’s evolving.
It scales with your business, adapts to your brand, and translates with context.
Train it once. Use it everywhere.
Discover more at translated.com