Intento Announces Major Enhancement to its XTM Cloud Integration

Intento Logo

San Francisco, CA, March 10, 2021 – Intento, a leading AI integration platform, announces a major enhancement to its integration with XTM Cloud, the Enterprise SaaS Translation Management System. With the 12.5 version of XTM Cloud, XTM introduced the Custom MT feature, making it extremely easy to connect Intento’s MT Hub platform to enterprise translation workflows. This significantly expands the choice of MT providers that can be leveraged directly from within XTM Cloud, giving customers more flexibility in choosing best-fit MT and offering seamless access to Intento’s curated MT platform, tools and services.

“XTM is a trusted partner to Intento and we’re pleased by the enhanced connection that XTM’s Custom MT feature provides to Intento’s Curated MT offering. We see MT program development as a key initiative of most enterprise localization departments in 2021 and Intento’s customers benefit from seamless access to best-fit MT, choosing from over 40 engines, and easy MT program management through the Intento MT Hub. Intento powers the MT programs of many of the world’s largest companies, increasing quality, speed, and ROI”, says Konstantin Savenkov, Intento’s CEO.   Savenkov continues, “We expect that this enhanced integration with XTM Cloud will provide our customers with even easier access to expanding MT around the enterprise, leveraging the same highly trained MT engines for their Customer Support, Community Management and Office Productivity initiatives via Intento connections to their enterprise systems”.

Intento MT curation helps companies realize much greater ROI from enterprise MT, with up to 60% of translations accepted by linguists and up to 97% accepted by end-users. This is accomplished via smart procurement (with a patented evaluation process), expert deployment, and ongoing improvement. Intento empowers their customers to take a direct role in understanding and developing their MT program, and builds streamlined processes to facilitate MT expansion around the enterprise, further expanding ROI and MT engagement.

“We are happy that Intento is able to use our Custom MT connectivity feature to build a strong integration between XTM Cloud and Intento’s Curated MT offering. Close integration between TMS and MT systems is a critical path for global enterprises as they optimize their global content workflows”, said Dave Ruane, Digital Content and Partnership Manager at XTM International.

About Intento:

Intento helps global companies procure and utilize the best-fit cognitive AI services. The Intento AI Hub connects AI models trained on multiple platforms (such as Amazon, Google AutoML, or Microsoft Cognitive Services) with many enterprise software systems. Launched in 2017, Intento offers its patented, ISO-27001 certified platform to global companies across all industries, augmenting their Localization, Content Management, Customer Support, and Marketing Operations with AI. For more information, visit

About XTM International:

XTM International develops and sells XTM Cloud, an enterprise SaaS translation management system with an integrated computer aided translation tool. Their mission is to help enterprises reach global markets more efficiently by creating, delivering and supporting an industry leading platform to automate and manage all aspects of the localization process.

The system employs AI to deliver advanced automation, has a well-developed REST API and out-of-the-box connectors for most common content management systems and machine translation systems. The flexible and automated workflow streamlines complex localization processes and supply chains while providing project managers with an up-to-date view of the project status. XTM Cloud is designed to be scalable, flexible and agile, with industry open standards at its core.

XTM International’s customers include many of the world’s leading enterprises in a variety of industries as well as some of the most innovative LSPs.

More information is available at the XTM International website


James Hjerpe