Translation has become a catalyst for international growth. International companies seek to expand their global presence and create new revenue opportunities by localising their products and services. Websites, technical documentation, knowledge bases, strategic documents, and other corporate information have more impact and relevancy when translated into local culture and language. This has led to a large increase in the demand for professional translators and post-editors.
Translate More for Less - Machine translation eliminates the two main constraints of human translation: cost and capacity. Additionally, it's fast! Kantan machine translation is the only viable solution to translate content that would otherwise not be translated because it is quick and the cost is independent of the volume translated.
Increase Productivity - Machine translation can be used by localisation service providers as a way to boost productivity. KantanMT helps them process more content at lower costs in a timely manner.
Accessible and Secure - Traditional MT solutions have been inaccessible to localisation service providers due to the platform costs and the complexity of managing the MT software, dictionaries and other system components. Kantan machine translation is simple to use, accessible via the cloud and easy to manage. It is hosted on secure servers so client content is always stored securely and confidentially.
Inexpensive - Legacy MT solutions are expensive to purchase, manage and maintain. Using KantanMT there is no management or maintenance overheads. We host your personalised MT engine on the cloud and you subscribe to the service using one of our inexpensive monthly plans.
The limited supply of translators, coupled with the large growth in the type and volume of content means that it is humanly impossible to translate everything. Machine Translation is a viable alternative for localisation service providers that want to grow their business and translate more content for their clients.
Here's what our members are saying:
We are finding that KantanMT [is] an efficient and positive solution.