Greenland’s biggest newspaper cracked the code: use AI, protect a language, and grow your business.

What do you do when your entire country runs on two languages, and tech giants couldn’t care less about one of them? If you’re Sermitsiaq, Greenland’s leading news publisher, you build your own AI.

In 2023, Danish startup MediaCatch trained an AI translation tool capable of translating Danish into Kalaallisut (Greenlandic) and vice versa. Powered by more than 15 years’ worth of professionally translated news content, the tool transformed what used to be a time-consuming, manual process into a nearly instant one. For a country where law mandates bilingual content, this change was game-changing.

From Translation Bottlenecks to Business Strategy

Before the AI rollout, translating a single article from Danish to Kalaallisut took hours—and that was only if a human translator was available. With the AI in place, the same task now takes minutes. Human editors step in only for final proofreading, cutting costs and saving precious time—especially when reporting breaking news.

But the most compelling twist? Sermitsiaq turned the tool into a subscription driver. Businesses that want access to the translation tool must subscribe to the newspaper. The model works because it reflects Greenland’s bilingual reality: the tool solves a problem everyone in the country has, and the paper owns both the tech and the data.

Local Data, Local Profit

Unlike most AI tools that rely on third-party corpora and serve big tech’s agendas, this tool belongs to Greenland. MediaCatch didn’t scrape the internet—they used the newspaper’s own legacy of bilingual publishing. Instead of handing over data to companies like Google or Microsoft, Sermitsiaq built a sustainable business around it, fueling journalism and civic engagement in the process.

A Replicable Model?

Yes, but with caveats. To build something similar, you need high-quality training data—and lots of it. That’s feasible in places like Greenland, where institutional translation has been ongoing for decades, but far harder in communities without that infrastructure.

Still, this case shows the enormous potential of AI when it’s developed locally and ethically. For minority languages—often left behind in the digital world—this is more than just a tech story. It’s about ownership, representation, and survival.