Smartling, Inc.

09/03/2026

Multilingual launches shouldn't cost you months. Or your budget.

We're heading to ContentCon Amsterdam, 30 September to 1 October, to show what happens when AI and human expertise work on translation together, not as a tradeoff.

Stop by to see how Smartling plugs natively into Contentstack, so your team can localize at the speed you create content.

Here's the speed difference:

🚀 Multilingual content launching 50% faster
⚡ Content delivered 10x faster, at guaranteed quality

Find our booth at Circa Amsterdam, or book a meeting ahead of time with our on-site team: https://bit.ly/4cmQXUU

09/02/2026

Smartling has been named an OpenAI Select Partner, and our plugin just went live in OpenAI’s plugin directory.

That means the full power of Smartling, complete with governance and quality controls, is now available directly inside ChatGPT. Translate content, manage jobs, and resolve quality issues without switching tabs.

Learn more: https://bit.ly/46BbQby

09/01/2026

Smartling is at AMTA 2026 in Quebec this week! We’ve done some exciting research this year such as: RAG technology, content generation, and document level translations.

Our brilliant AI team will be presenting on a wide variety of topics this week👇

📅 Today's sessions:

➡️ RAGs to Riches: A Journey from Static to Agentic RAG for AI Translation | @ 11:15 in Room 1

Olivia Norris and Jason Rauchwerk outline a practical roadmap from basic retrieval to a self-corrective, fully agentic RAG pipeline that filters conflicting terminology and knows when to escalate to human review.

🧠 Thinking in English? How American-Centric LLMs Compare to non-American-centric Models for Content Translation and Generation | @ 11:45 in Room 2

Jennifer Wong will address the question if frontier models perform better or worse compared to smaller regional models in translation and content generation.

📅 Tomorrow's sessions:

🤖 Context-Aware LLM Translation in Production Pipelines: A Controlled Comparison of Segment-, Paragraph-, and Document-Level Strategies | 12:00 in Room 1

Marina Sánchez Torrón will address how document-level translation cuts cross-segment errors compared to segment-by-segment translation. Plus a follow-up on how this holds up (and even beats) translation memory-based workflows.

🧠 Alex Yanishevsky will also be part of The Future of Language Services: Reinvention in the Age of AI panel together with Konstantine Boukhvalov, André Palaguine, and Vera Senderowicz Guerra at 10:00

Come by and meet us at our talks or during breaks at AMTA this week! We look forward to seeing you there.

08/28/2026

"I really enjoy the automation it provides to reduce the time for translation delivery... It's fantastic that Smartling enables us to translate marketing assets into 49 global languages, significantly saving us time in the translation turnaround process,” says one Smartling user on G2.

That review is just one of many that contributed to Smartling's G2 results this quarter: 41 badges and 23 #1 rankings.

The full rankings, along with more opinions from real users, just went live on our blog.

Read it here: https://bit.ly/4gogsHZ

08/26/2026

Every team translates differently. And every team hits a different wall.
On September 16, Smartling Demo Day puts four live sessions back-to-back, each one built around a different team's real workflow. Smartling is the AI Translation Platform rated #1 TMS and #1 website translation tool on G2, and this is where you see why, live.

You'll walk away with:
🌍 Localization: automated translation, start to finish, with zero manual handoffs
📈 Marketing: campaign content moving from "ready" to "live in market"
⚙️ Engineering: translation triggered straight from your release pipeline
🎬 A first look at our new video and subtitle translation feature, ahead of its official launch

Register once, then pick the session(s) that fit your team.

👉 Register Now: https://bit.ly/4xVJSD2

08/20/2026

Your content didn't land, but it passed every linguistic and technical check. Sound familiar?

On August 26th, Smartling VP of AI Olga Beregovaya sits down with Sophie Solomon and Agustín Da Fieno Delucchi to unpack why that gap exists, and what closes it.

This session covers:
✔️ Why the industry has optimized generation but not the context behind it
✔️ What Direct Global Content is, and why early adopters are testing it
✔️ Whether AI-generated content can still feel consistent across markets without one shared source
✔️ Where expert human judgment is heading as AI takes on more of the work

Register here:

Agustín Da Fieno Delucchi and Sophie Solomon join Smartling's Olga Beregovaya to unpack what it takes to be AI-powered and human for real results.

08/12/2026

Content can pass every quality check… and still fall flat the moment it hits a real market.

Why does that happen, and what actually closes the gap?

Join Olga Beregovaya, Smartling's VP of AI, for a fireside chat with Sophie Solomon, and Agustín Da Fieno Delucchi on August 26th at 9 AM PT / 12 PM ET / 5 PM GMT.

They'll dig into why technically flawless content still fails to earn trust, and dive into Direct Global Content, a new approach some teams are already piloting.

You'll walk away with:
🧠 A way to think about the context infrastructure that predicts how content will land, before it ships
🎯 Why passing a linguistic check isn't the same as earning trust, and what actually is
🌍 A look at Direct Global Content and where the industry's appetite for it stands
🔮 Where human judgment goes next as AI takes on more production

👉 Register here: https://bit.ly/4clPZrV

08/05/2026

The debate over whether to use LLMs for translation is over. The real conversation now is how to deploy them without losing quality, control, or security. 🌟🌍

That the number one insight our AI research team came back with from EAMT 2026, the European Association for Machine Translation's annual conference.

We're beyond proud to share that six of our researchers had papers accepted at this year's conference.

📄 Marina Sánchez-Torrón, Daria Akselrod, and Jason Rauchwerk co-authored a paper titled, "To Write or to Automate Linguistic Prompts, That Is the Question." ❔🤔 They found that AI-written instructions worked almost as well as ones written by expert linguists, except at catching translation errors, where the humans still won.

📄 Olivia Norris and Alex Yanishevsky collaborated on a paper titled, "LLM-as-a-Jury for Machine Translation Publishability Assessment." Instead of asking one AI model whether a translation is ready to publish, this team asked several at once — and the group vote beat any single model. 🤝

📄 Vitalii Iakivchuk's paper, titled, "Using Model Disagreement to Identify Unstable Regions in MT Evaluation," which found that when human reviewers disagree on a translation's quality, it's actually a good thing. That disagreement is useful because it points to exactly where evaluation gets shaky. 👀

We just published a full recap of the team's time at the conference, plus what we're changing about our own approach because of it, on our blog.

Read it here: https://bit.ly/4xlG9OK

07/17/2026

AI translation sped things up, but has quality kept up?

Use this checklist to identify gaps in your localization program and make sure quality content is reaching every market, not just your priority ones.

Access it here: https://bit.ly/4vw3NH3

07/07/2026

It's no secret that our industry has completely transformed since entering the AI era.

But can global brands truly trust AI translation?

Join our upcoming webinar to find out. Experts from Miro, https://bit.ly/4gpXNMk, MultiLingual Media, and Smartling will dive deep into how enterprises can answer this question with confidence.

This live Q&A-style session on July 16th will cover:

✔️ Why enterprises need new approaches to translation quality

✔️ Which quality metrics matter (and how traditional evaluation methods fall short)

✔️ How to balance human review and automation

✔️ How to actually trust AI output at scale

👀 And more.

Register here: https://bit.ly/4gWXSqO