Pangeanic Blog

Recent research reveals a devastating “doom spiral” threatening the world’s smaller languages, but proven solutions exist

In the rush to adopt Generative AI, one critical factor often gets buried under promises of scale and hype: security. Many of the largest AI companies want to be everything at once — data provider, model builder, SaaS vendor, and even regulator of...

Proto-Indo-European language emerged around 4,000-5,000 BCE among nomadic pastoralists in the Eurasian Steppe. Beginning around 3000 BCE, these people dispersed widely into Europe, Asia, and the Indian subcontinent. Through migration and interaction...

The recent acquisition of Unbabel is not merely another transaction in the language industry; it serves as a critical bellwether for a fundamental market transformation. The industry is currently in a state of strategic recalibration, navigating the...

The world has been captivated by the impressive capabilities of large language models since the release of ChatGPT 3.5 in December 2022. It was the first time humans experienced a true cognitive interaction with a machine. Until then, our...

Pangeanic, the Valencian leader in language technologies and natural language processing (NLP), has been officially recognized as an Innovative SME by Spain’s Ministry of Science and Innovation. This prestigious seal certifies the company’s high...

The TAUS Massively Multilingual AI Conference in Dublin on June 10-11, 2025 proved to be a pivotal moment for our industry, bringing together leaders from AI labs, globalization directors, and language technology providers at Google’s European...

Two recent signals from the world’s most influential players—the European Union and Google—have redefined how we think about LLM-based translation (or AI translation). Both the EU and Google now accept that AI-powered translation is fluent, usable,...

Gartner's enterprise AI research confirms what we've been saying about the future of AI business models:  multilingual agentic workflows are where the real opportunity lies.

Conventional translation methods often face challenges when dealing with the nuances, cultural significance, and specialized terminology of religious texts. However, Large Language Models (LLMs) are emerging as powerful tools that could...