ModelFront @modelfront
The translation quality prediction API - ML to translate content more efficiently, at high quality modelfront.com Joined October 2018-
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Translation AI is now featured at @Techweek_! Join us on October 8th in downtown SF to hear from translation AI builders and localization teams from @Google, @Microsoft, @DeepLcom, @Meta, @modelfront and more! #TechWeek, the world's largest decentralized tech gathering, brings together 100K+ attendees. The #SFTechWeek translation AI event is organized by ModelFront and hosted by @Adobe. Get on the guest list at partiful.com/e/nalVTU28EjvO…
ModelFront is heading to AMTA 2026! The team will give two talks on machine translation quality estimation: 🟩 Survey of Machine Translation Quality Estimation How quality estimation has evolved, from early feature-engineered models to today's production systems and frontier research. 🟦 The State of Machine Translation Quality Estimation Where quality estimation stands today, from current production use in quality prediction to the frontier. Read more at modelfront.com/events/amta-20… See you in Quebec City next week!
ModelFront is featured in @Gartner_inc's 2026 Hype Cycle for Natural Language and Unstructured Content Technologies! ModelFront is AI to check and fix AI translations or trigger human intervention. Large translation buyers use ModelFront to scale translation while keeping human quality. Gartner first covered ModelFront in 2020 when ModelFront created the quality estimation category. Read more at modelfront.com/news/gartner-h… modelfront.com/news/gartner-h…
What are the top myths about QE and APE? At the latest GenAI in Localization, ModelFront CEO Adam @Bittlingmayer broke down myths and truths about quality estimation and automatic post-editing — AI to check and fix AI translation while keeping human quality. Read the full recap here: modelfront.com/news/genai-in-…
It's not what you know about QE and APE, it's what you do know that ain't so. GenAI in Localization, we're busting myths about QE and APE — AI to check and fix AI translations. Join us on Thursday! modelfront.com/events/genai-i…
Press release: ModelFront announces outcome-based pricing. modelfront.com/news/outcome-b…
The top most clicked news in the latest machine translation newsletter: 1- @Meta released Omnilingual MT for 1,600 languages. 2- @DeepLcom now supports 109 languages, after adding more than 70 in November. 3- @modelfront announced general availability of automatic post-editing.
How can CROs use AI to speed up translation and comply with regulatory requirements? Check out @CSA_Research's new brief on how a leading global CRO uses ModelFront to accelerate translation for clinical trials and keep human quality. modelfront.com/news/csa-repor…
Control doesn’t have to mean building everything in-house. Rule of thumb: don't buy technology and manual services from the same vendor.
The new 2026 @slatornews Index is out! The tech category features ModelFront as the leader in quality prediction and automatic post-editing, alongside @DeepLcom in traditional translation AI, and @krispHQ in voice. Large buyers use ModelFront to scale translation while keeping human quality. Over 1B words of Fortune 500 content were processed with ModelFront in 2025. Read more at modelfront.com/news/slator-in…
How does the world’s largest travel platform localize experiences at global scale? Mikolaj Szajna from Booking will answer questions on real-world operations, AI rollouts, and cultural and technical shifts in a unique, practical Q&A at #LocWorld55 in Dublin, moderated by @bittlingmayer from ModelFront. 🔗 locworld.com/sessions/scali… See you in Dublin! 🇮🇪
Are you in control of your data? Just ask yourself: — Is your translation management system controlled by you or by your manual human translation provider? — Can you get all your resources for all your files and projects at the same time, or does getting your data require a lot of manual work? — Can you change or add AI translation or other AI to your workflow? Or do you have to ask for permission? Ownership shouldn’t be a feature. If you have no control, you have no scale.
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