ModelFront

The translation quality prediction API - ML to translate content more efficiently, at high quality

[ModelFront @modelfront]

We just shipped the open TMS built for AI. No lock-in, no limits.

[OpenLoc @OpenLocTMS]

Full initial source code just dropped for the open, AI-native enterprise TMS!

Code and roadmap at https://t.co/imNh1IgTgy

This is a public beta, with lots of obvious features not built yet. We're already working on the next round: more file formats, CMS integrations, vendor management, portal... and more AI!

Want to shape the future? Teams in our Early Access Program get hands-on support and help decide what comes first on the way to General Availability. Apply at https://t.co/3N9iJLdkH1

[Slator @slatornews]

.@modelfront's Adam Bittlingmayer on why context is key to #AI #translation 🎙 Catch up on https://t.co/xM0gMFbpo3 📺 Or head over to Apple Podcasts 👉https://t.co/TZIfmvbQVp and Spotify 👉https://t.co/zNMjv0DXqj.
@OpenLocTMS @bittlingmayer

[ModelFront @modelfront]

Why we built it open: https://t.co/WR28qR6GzQ

[ModelFront @modelfront]

Announcing @OpenLocTMS the open TMS built for AI.

Use any LLM, at scale, with no AI tax. Do anything via MCP. Free integrations. Easy, powerful prompt builder. Host yourself or get enterprise hosting at cost.

We're giving it away for free. No lock-in. No limits.

Code on GitHub Oct 19 under BSL 1.1.

https://t.co/1eHGmnakvG

[ModelFront @modelfront]

One week to our translation AI panels at #SFTechWeek.

Next Thursday, we're bringing together people from @Google, @Microsoft, @DeepLcom, @Meta, ModelFront, @Adobe and @krispHQ in San Francisco's Financial District. Panels start at 6.

Three conversations: what recent AI developments mean for translation operators and providers, how operators should think about independence and build vs. buy, and where speech-to-speech translation is going, from dubbing to call centers.

Plus snacks, drinks and networking. No livestream or recordings.

We're full, but you can still join the waitlist 👉 https://t.co/P9ijRxUBTX

[ModelFront @modelfront]

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 https://t.co/P9ijRxUBTX

[ModelFront @modelfront]

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 https://t.co/dGyNUsu1SK

See you in Quebec City next week!

[ModelFront @modelfront]

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 https://t.co/XfeBQ4OkX0 https://t.co/C20Kloc6iE

[ModelFront @modelfront]

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: https://t.co/C97p6KrCUO

[ModelFront @modelfront]

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!

https://t.co/mjeNT0waYS

[ModelFront @modelfront]

https://t.co/FfPCVZfmaT

[ModelFront @modelfront]

Press release: ModelFront announces outcome-based pricing.
https://t.co/MP99ubzgs8

[ModelFront @modelfront]

https://t.co/4TBspMeYqn

[The Machine Translate Foundation @machtranslate]

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.

[ModelFront @modelfront]

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.

https://t.co/wZWEbrzIQs

[ModelFront @modelfront]

https://t.co/y17ey2v7s0

[ModelFront @modelfront]

Control doesn’t have to mean building everything in-house.

Rule of thumb: don't buy technology and manual services from the same vendor.

[ModelFront @modelfront]

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 https://t.co/ZIaojfp0hz