Customized Statistical Machine Translation

We provide fully customized machine translation services: the translation engine is adapted by our experts to perfectly translate your documents with your domain and technical vocabulary.

Please contact us for a demonstration.

Full integration into a complete translation environment

We offer a close integration of the Moses translation engines into the powerful open-source CAT tool Matecat.

User studies have shown that gains in productivity of more than 25% can be achieved.

Translate confidential and sensitive documents

With in-house servers or on a dedicated private cloud, control the dissemination of sensitive information during the translation process.
Leverage technological innovation for your productivity

Our technology is based on 10 years of research and has frequently achieved top rankings in renowned international evaluations.

Benefit from the latest breakthrough before your competitors.

Compatibility with Matecat

MateCat is an enterprise-level, web-based CAT tool designed to make post-editing and outsourcing easy and to provide a complete set of features to manage and monitor translation projects. It supports 57 file types.

MateCat provides the ideal environment for post-editing and translation. Thanks to the integration of the largest collaborative translation memory and the best machine translation, you will always get from 10% to 20% more matches than with any other CAT tool and translate faster than ever.

Our MT servers are smoothly integrated into the Matecat tool.

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Start Up Meet Up

You want to know more about our products and technology ? Join us at the Start Up Meet Up in the Paris Hotel de Ville, June 24th, 2016
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DeepLingo shortlisted for ICT 2015 Innovation prize

The Innovation Radar Prize has been established by the European Commission to recognise high potential innovations developed in EU-funded Research & Innovation projects, and the innovators best placed to take these innovations to market. Only 14 innovators – from 1000s in EU-funded R&D projects - have been shortlisted.