Polish LSI Diuna Acquires Local Boutique, Shifts Focus to AI Data Deals in the US

Diuna AI & Language Services, a language solutions integrator (LSI) based in Poland, on March 30, 2026, announced its acquisition of boutique LSI Alingua. The deal for the Kraków-based company gives Diuna a presence in Poland’s three main commercial centers of Warsaw, Wrocław, and Kraków.

Terms of the deal were not disclosed, but Diuna CEO Piotr Kolasa told Slator that “the rationale was not scale for its own sake, but building a stable ecosystem that combines traditional language services with AI‑oriented language data capabilities.” 

Hunting for AI Data Deals

Over the last few years, Diuna has acquired several Polish LSIs, including Intertext, Yellow – Centrum Języków Obcych (now called Yellow Diuna Academy), and ePAROLE. However, the closing of the Alingua acquisition marks a major shift in Diuna’s M&A strategy.

Diuna will now look to acquire companies in the US, Kolasa said, “operating in language data, AI‑related services, and adjacent technology domains, particularly those with strong specialization, mature delivery models, and experience working with enterprise or technology clients.”

Diuna’s pivot to AI language data services is in line with a broader trend among LSI’s that have seen traditional translation services disrupted by AI. Indeed, LSIs are increasingly looking to the AI data market, which Slator’s new Data-for-AI report says is expected to grow 18% annually to reach USD 21.5bn by 2031. 

Kolasa says Diuna is seeing growing demand for AI language data services in e‑commerce, advanced manufacturing, automotive, consumer electronics, and enterprise technology.

“The strongest traction to date has been in multilingual data collection and annotation, especially for projects involving intent classification, named entity recognition, content moderation, and domain‑specific datasets. Clients increasingly require not only raw data, but also linguistic validation, quality control, and compliance with strict guidelines.”

He says the company’s linguistic competence sets it apart when it comes to providing high-quality multilingual datasets compared to companies that have a purely technical focus. 

Shifting to the US, Kolasa sees a fast-growing but fragmented AI data market that is ripe for “consolidation around providers that can offer scalable, high‑quality, and linguistically grounded data services.”