Intento’s State of Machine Translation 2023 Report Evaluates 37 MT Engines and 5 LLMs
Intento and e2f teamed up to study the Machine Translation and Generative AI market and present the State of Machine Translation 2023 report
SlatorCon Zurich is now SOLD OUT — See you on October 4th!
Intento and e2f teamed up to study the Machine Translation and Generative AI market and present the State of Machine Translation 2023 report
Interest in machine voice is at an all-time high. Here, we present a use case for speech technologies scaling multilingual content creation in global launch cycles.
Intento's Machine Translation Hub for ServiceNow helps enterprises scale global operations by building a seamless, language-inclusive workplace
Preview of what to expect at Intento’s Machine Translation Playbook Webinar on December 13, 2022. Nike, Stripe, GAP, AstraZeneca, NetApp share biggest takeaways from 2022; 2023 plans.
Intento MT Hub for Smartcat gives users access to the best-possible translations through the power of over 30 leading machine translation providers such as Google Cloud AutoML, Amazon Translate, and ModernMT.
Intento is recognized as a 2021 Gartner Cool Vendor for Conversational and Natural Language Technologies
TAUS and Intento enter into a strategic partnership to realize the full potential of MT technologies
XTM Cloud 12.5 introduced the Custom MT feature making it extremely easy to connect Intento’s MT Hub platform to enterprise translation workflows
Hjerpe brings an extensive background in driving growth for localization technology companies, which aligns well with Intento’s cornerstone AI offering: Enterprise Machine Translation Hub
Intento an expert in machine translation evaluation, has published its annual report, The State of Machine Translation 2020
The seed round for Intento was led by Flint Capital with participation from Berkeley SkyDeck and SmartHub along with other angel investors.
Intento has published its Enterprise MT Hub Add-Ins for Microsoft Outlook and Microsoft Word.
Intento has published a report on the evaluation of 23 different stock (pre-trained) Machine Translation models across 48 popular language pairs
Intento has published its plugins to two popular Computer-Assisted Translation platforms, MemoQ and SDL Trados.
Intento (https://inten.to) has evaluated six domain-adaptive Neural Machine Translation systems for English-to-German translation (Medical domain) and published the report.
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