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20x more content with AI
Equip your team with intelligent technology to create and translate content 4x faster, in real time, with 97% user satisfaction.
productivity
potential
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automation
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automation
Thanks to the 70% effort reduction made possible by AI, our customers create and translate content more efficiently than ever.
AI takes on costly and labour-intensive tasks like real-time, on-demand translation to address 100% of your content needs.
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Choose the AI vendors that best suit your needs, customizing them as you go, or build custom machine translation models using Intento MT Studio.
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MT Hub for Localization
Make your translators 70% more productive and 100% more happy.
MT Hub for Software Development
Have your international dev teams code and collaborate better no matter what languages they speak.
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Make your digital workplace accessible for all employees and boost their global productivity.
MT Hub for Customer Support
Delight customers with 24/7 real-time support in their native languages to reach a 97% user acceptance rate.
MT Hub for Community Content
Support international customers with real-time translations to their native languages.
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Recommended reading on AI, MT
and more
Machine Translation ROI: How Subway Saved $1.5M and 2 Years of Labor Using Intento’s Best-Fit MT
At the XTMLive 2022 conference last week in Silicon Valley, Carrie Fischer (Manager of Globalization Services, Subway) was joined by Mark Hjerpe (Head of Revenue, Intento) and Rory Sampair (Solutions Architect, XTM) to discuss the clear, measurable returns delivered by machine translation. The panelists addressed (among others) the question most people have when approaching MT: is it possible to save a bunch of money and time while still maintaining quality? After Carrie’s first year using Intento’s best-fit MT solutions, the answer was a resounding yes, as outlined below.
Localization Checkup: MT Efficacy and Post-Editing Performance Analysis
Last week, Intento Co-founder and CEO joined the GALA 2022: San Diego program to share his approach to analyzing post-editing efforts across enterprise localization activities. Keep reading for all the insights from the seminar, including the elements of a healthy localization and MTPE (machine translation post-editing) program, guidelines for diagnostics and analysis, source quality analysis, and recovery options.
Time for an MT Pitstop: Machine Translation Maintenance for Continuous Optimization
At GALA San Diego attendees had the opportunity to hear from Pavel Efimkov, an MT expert from Intento, on the technical checks and fine-tunings necessary so you can deploy effective translation solutions. Keep reading for insights on MT adoption, maintenance, planning, and more.