In machine translation, not only do we build our own technology and models, we also create and adapt models that are tailor-made for various organisations and companies. These include companies and organisations that manage large text volumes, those with personalisation needs and those for whom document management is essential.

We take the corpora and text collections of an organisation, train the model according to the organisation’s needs, and test the model; that way, we create high-quality machine translators, because we adapt our technology to the customer’s needs.

We aim to increase the personalisation, specific terminology, integration facilities and the availability and efficiency of these neural systems that have the potential to function with servers that have a lower computing capacity.