Discover Lara 3, translation AI that learns by doing to deliver a major leap in quality, speed, cost efficiency.
TranslationOS enables enterprises to run AI-driven localization with transparency, control, and confidence. It replaces legacy TM-centric workflows with a context-centric approach that works on full content context and coordinates AI with professional language expertise.
Our data clearly shows that within a decade the best-performing translators will spend the same amount of time correcting a translation done by MT as one done by their peers that doesn’t require any editing.
Airbnb expanded language support into 31 new languages, including low-resource languages, enabling rapid global growth through a hybrid human–AI localization system.
Asana moved from traditional localization to an AI-first workflow, automating 70% of translation processes, reducing manual effort by 30%, and improving translation quality at scale.
Glovo improved conversion rates in linguistically diverse markets by translating restaurant food menus in real time, supported by automated review for low-confidence content.
NordVPN drove a 43% increase in sales by scaling localized content marketing and advertising across 24 locales.
Cricut localized a 100+-minute video library into five languages in just two weeks, using expressive AI voices and vetted language professionals to scale video localization cost-effectively.
Airbnb used Translated’s smart dubbing and voice translation service to create a cutting-edge, video-based training experience that helps new hosts accelerate their growth on the platform.
Should you build or buy an LLM translation system? Compare reliability, infrastructure, talent, governance, and total cost for enterprise deployment.
Learn what enterprise teams should evaluate before they build, buy, or assemble an AI localization stack.
In this article, our Technology Evangelist, Kirti Vashee, explores the key themes that emerged from the latest industry conferences, from SlatorCon to LocWorld and TAUS, and what they reveal about the shift from AI experimentation to enterprise-scale localization.
Translation memory alone is no longer enough. AI needs context to deliver consistent, brand-aligned translations that improve over time. This article explores why context-centric orchestration is reshaping the future of localization.
This article explores how machine translation revolutionizes knowledge sharing, access, communication, and information gathering in our interconnected world.
Why language technology is no longer about cost savings. Discover how language intelligence drives revenue, CX, market expansion, and competitive advantage.
Invited to speak at ai-PULSE 2025, Europe’s premier AI conference, Translated CEO Marco Trombetti focuses on the architecture behind most modern language models and explains why they perform well in many scenarios, yet struggle when precision, accountability, and trust are non-negotiable
Translated’s new connector for ServiceNow automates the entire localization workflow directly within the app, combining AI translation and human expertise through TranslationOS. The integration speeds up localization cycles, reduces costs, and ensures consistent, high-quality translations across enterprise content.
In this report from the leading localization conferences of fall 2025, Language Technology Evangelist Kirti Vashee explains why and how global brands are ditching microtask-specific AI patches for AI-first workflows
The new version of Translated’s Figma plugin introduces full supports Figma Buzz, enabling teams to localize on-brand assets with the same ease and accuracy as Figma Design.
Learn how to integrate our translation AI, Lara, into your existing workflows and combine it with language professionals through TranslationOS. This guide outlines integration models, key features, and best practices for managing linguistic assets such as Translation Memories and glossaries to ensure consistent, high-quality translations.
The group produced a document calling on the Pope and global leaders to uphold key principles and boundaries to guide dialogue on how AI can best serve humanity.
The latest version of Lara received high praise from professional translators but scored lower on COMET. This contradiction led us to investigate further, and what we found was revealing. In a new report, our Tech Evangelist Kirti Vashee explores why automated scores often fall short in evaluating LLM-based MT.
With the integration of Lara via API, TranslationOS overcomes the limitations of traditional translation memories by enabling full document-level context. Localization managers can now design custom workflows that combine the most reliable AI and professional translation, applying the right level of human review based on the relevance and purpose of each content type.
Our translation AI, Lara, now runs on new hardware co-designed by Translated and Lenovo, a global leader in high-performance computing, specifically built for translation. This setup outperforms leading generic LLMs in the translation task in both quality and speed, unlocking new use cases in localization.
We are leading a major research initiative that brings together 20 leading AI organizations from 9 European countries to develop a new class of AI models capable of gaining understanding through real-world interaction.
BBC Talking Busines invited our CEO Marco Trombetti to give a voice to the language industry, from AI breakthroughs to energy concerns and the rising global demand for high-quality translation.
With the latest update, our translation AI, Lara, now supports the 32 most widely used languages in the world. These new languages are available to both Lara Translate users and enterprises through the web app, which now includes a Team Plan, API access, and a new AI Agent.
Discover how Lara improves translation quality, supports enterprise-wide use, and enables scalable, multilingual content delivery.
CSA Research names Lara a breakthrough in responsible AI translation, highlighting its human-like reasoning, interaction, and continuous improvement.
We have signed a strategic collaboration to accelerate the development of our AI models and expand their applications beyond localization to meet the evolving needs of a global audience.
The research project aims to train Translated’s translation model to achieve the same level of accuracy as top professional translators using one of the world’s most powerful supercomputers.
Translated today introduced Lara, a breakthrough translation AI that outperforms popular machine translation and approaches the quality of top-tier professional translators.
Our Tech Evangelist, Kirti Vashee, explores the critical role of data quality in AI, how quality data drives AI accuracy, reliability, and fairness, and why localization professionals must adopt a data curation strategy to optimize AI-driven workflows.
Our COO, Alessandro Cattelan, explores the unprecedented challenges and exciting opportunities that recent advances in language AI present to the localization industry, why globalization and localization professionals need to reinvent their roles, and how they can adapt to this evolving landscape.
Our Tech Evangelist Kirti Vashee discusses the evolving role of Large Language Models (LLMs) in enterprise localization, highlighting the pros and cons of the two possible approaches.
This white paper by our Tech Evangelist Kirti Vashee examines the evolution of LLMs, covers the latest developments in this technology around the world, and compares it to NMT for enterprise localization. Read the executive summary and download the full paper for an in-depth analysis of the use of LLMs in the localization workflow.
We have integrated ModernMT’s adaptive neural machine translation model as the default MT engine in Matecat, our AI-based open-source CAT tool, available free of charge to all users. This improvement will benefit translators, clients, and the entire language industry. Learn why and how.
Translated’s Research Center, Imminent, will fund 5 original research projects that explore the most advanced frontiers in language services. The call is open to startup founders, researchers, innovators, authors, university labs, organizations, and companies worldwide.
In this video, our VP of AI Solutions, John Tinsley, provides a compelling look at how our new Human-in-the-Loop machine translation solution works. John will help you better understand how the loop of background reviews works, how you can customize it for your needs, and why this is state-of-the-art AI for translation.
An independent study led by Achim Ruopp, founder of Polyglot Technology, has demonstrated how ModernMT’s adaptive MT solution can outperform major publicly available MT systems, including Deepl and Google Translate, and even state-of-the-art GenAI, in real-use cases.
Today, we unveiled Human-in-the-Loop, the first dynamic, adaptive machine translation (MT) system that enables enterprises to continually improve MT quality in real-time through a unique symbiosis between humans and machines.
Today, we unveiled a new ModernMT model that empowers companies to translate billions of words at ultra-fast speeds without compromising quality. It is domain-specific and designed for use cases such as translating UGC, datasets, and web content.
Translated’s new voice translation service seamlessly blends transcription, machine translation, expert linguists, and voice cloning technologies. Creators and companies now have complete control over their messaging and can rely on the hallmark of their own voice to reach a global audience.
At a time when artificial intelligence (AI) is dominating the headlines, Translated’s commercial aims to celebrate the immeasurable value that people bring to the world of translation and shine a spotlight on the role of humans in the advancement of technology.
ModernMT V7 now has a redesigned glossary feature that gives clients the ability to enforce preferred terminology in the machine translation output. It also scans content to prevent potential cultural offenses.
The latest version of ModernMT (version 7) enhances translation quality by up to 42% using Trust Attention, a novel technique developed by Translated that links the origin of data to its impact on translation accuracy, paving the way for accuracy improvement in generative AI.
Our machine translation (MT) system now leverages up to 100,000 words of document content to provide document-specific accuracy in translation suggestions, dramatically reducing the time to edit MT suggestions (TTE). The upgrade is available to translators and customers at no extra cost.
Combining our state-of-the-art machine translation with OpenAI’s GPT-4, our new service T-LM provides companies with a cost-effective solution to create and restructure content in 200 languages, bridging the performance gap between GPT-4 in English and in other languages.
Matecat’s latest update eliminates the need to look up context-specific word meanings externally. It also introduces declension recognition, increasing glossary matches in the source text and reducing false positives in terminology QA like never before in a CAT tool.
Our adaptive MT technology now supports 200 languages, up from 56, setting an industry benchmark. With a potential reach of 6.5 billion native speakers, we empower enterprises to establish stronger global connections, promoting seamless communication and understanding.
Watch the keynote from the conference that broke industry records for live attendance. In his talk, our CEO Marco Trombetti addresses the impact of ChatGPT and other large language models on the translation industry.
Translated presented today the project ‘Voice for Purpose’. The initiative was made possible thanks to advancements in AI voice generation, which Translated has pioneered to provide high-quality audiovisual localization services on a large scale.
The latest CSA Research Vendor Briefing outlines how Translated’s MT offers compelling advantages over previous generations of neural MT and has strengthened its position as a market leader.
We have been recognized as a Leader in the MarketScape “Worldwide Machine Translation Software 2022 Vendor Assessment” by IDC, the premier global provider of market intelligence and advisory services for information technology.
During our latest event, we announced that Lara now supports 200 languages and introduced a new reasoning model, Lara Think. This milestone paves the way toward universal understanding, empowering enterprises and language professionals to deliver fluent, accurate translations to 80% of the world’s population by covering the official languages of the countries where they live.
Translated has estimated what will happen when machine translation performs as well as the best professional translators. The estimation is based on data about the evolving quality of MT and the increased return on investments when combining professionals with adaptive MT.
Translated announces a collaboration with UniCamillus, the international medical university in Rome, to bring the UniCamillus Global Health Journal online in 28 languages using our adaptive machine translation.
Translated ranks first among companies employing remote workers in the translation industry according to an independent research project run by the Oxford Internet Institute and the Berlin Social Science Center.
We are introducing a first-of-its-kind marketing localization suite that enables companies and agencies to localize their ads in more than 239 languages and adapt them for hundreds of channels, including search engines, social media, and e-commerce platforms.
Translated has been included in the Gartner’s 2022 Market Guide for AI-Enabled Translation Services. We are the only companies providing established translation services and the best adaptive machine translation.
We’ve just released Matesub, an innovative AI- and web-based subtitling tool developed to help subtitlers and companies craft higher quality subtitles in less time.
Translated has finalized the merge with ModernMT, one of the best 3 performing customized MT engines. ModernMT provides state-of-the-art neural machine translation as a service that learns from translation memories and translators’ corrections, adapting them to the context.
We signed a deal with Airbnb to provide the hosting platform with a combination of professional and machine translation to make all the content on the platform available in 62 languages.
Translated CEO Marco Trombetti gave a talk at NVIDIA’s game-changing AI developer conference to show how our context-aware machine translation works to deliver closest-to-human MT.
Since our range of services is closing in on our vision of allowing everyone to understand and be understood in their own language, we’ve raised funds to scale the adoption of our symbiotic approach to translation.
We launched an international brand campaign to draw people into a magical world of translation, where communication and words are our endless source of inspiration.
We will transcribe and translate parliamentary debates into the 24 official EU languages to facilitate communication between members, open up debates to citizens, and improve accessibility
You can now take advantage of our services directly in the Amazon Marketplace. We offer listing localization, accurate keyword optimization, compelling creativity, and more.