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Lingotek & Intento Integration

San Francisco, CA, March 25, 2021 – Intento and Lingotek, leaders in enterprise AI integration and enterprise translation management respectively, announce a new partnership and incorporation of Intento’s AI-driven MT solutions into Lingotek’s highly-regarded translation management platform. With the new Intento connector, Lingotek users will be able to take full control over their machine translation requirements by deploying Intento’s MT Hub directly in their workflow. The addition of Intento’s AI-driven applications will significantly broaden the scope of MT providers that can be supported through Lingotek’s platform, leveraging Intento’s curated tools and services for greater choice and adaptability in choosing best-fit MT.

“Lingotek is a driving force in the current localization technology landscape, and we’re pleased to initiate what promises to be a fruitful partnership and integration between our two platforms. 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, “The ability to access all of these features through Lingotek’s trusted systematic approach to translation management will provide customers with effortless access to the tools they need to dramatically improve and expand their MT workflows.”

Intento offers Lingotek users full visibility and control of their MT program, starting with guidance on what options they have and best-practices for MT selection, deployment, and improvement. Custom MT solutions allow users to achieve the highest effort and cost savings while retaining maximum MT benefit. Intento clients see up to 60% of translations accepted by linguists and up to 97% by end-users, not to mention that MT can drive up to 20x ROI for the customer. Intento also provides Lingotek customers with an intuitive MT dashboard for viewing detailed MT usage and flexibly filtering by languages, providers, projects, and more. The whole machine translation ecosystem will be at your team’s fingertips – project managers and other team members (from Lingotek and the customer) can focus on their projects and not on MT configuration; you won’t need to be experts in MT to utilize the best-fit MT for your business.

“Machine translation and AI continue to become more of a strategic focus in the localization industry as companies are looking for ways to expand their global footprint in cost-effective ways,” says Jeff Labrum, General Manager of Lingotek, a member of the Straker Group. “We are expanding integrations with MT providers, giving our customers the ability to leverage the best-of-breed MT engine(s) for the given content and languages. The ability to tap into Intento’s AI, MT evaluation, and content routing capabilities adds incredible value to our joint customers. We’re excited about this integration and to be partnering with Intento moving forward.”

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 Intento.

About Lingotek:

Lingotek, part of the Straker Translation Group, is a technology-driven language services company. The Lingotek Translation Management System (TMS) centralizes and automates localization activities including translation, vendor management, and quality control.

MEDIA CONTACT:

James Hjerpe – Intento
Brad Ross – Lingotek

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