At TAUS‘s Massively Multilingual AI Conference in Rome (3–5 June), ESTeam was selected as one of ten companies for the EU Localization Championship. The company was nominated for LangOps Core — the multilingual AI framework in which Coreon acts as the knowledge layer. The argument: the industry has spent decades building tools to broadcast content — translating, transforming, capturing markets. Multilingual AI is now a communication problem. Chatbots, language-neutral product search, multilingual customer support, IoT, compliance, competitive intelligence — they all require AI to understand customers, not just speak at them. That only works on top of curated, structured, multilingual knowledge.
Which is precisely what Coreon provides inside LangOps Core: a concept-oriented Multilingual Knowledge Graph that classifies content consistently across languages, annotates it for retrieval and fine-tuning, and grounds LLMs outputs in approved terminology, preventing them from hallucinating in the languages your enterprise actually operates in.
One thing didn’t quite go to plan in Rome: the short video we had produced to explain LangOps Core in 150 seconds did not play during the session – a hiccup with the conference equipment resulting in the most concise version of the argument being lost. The good news: it is available on YouTube, and you can watch it now in less time than it took to read this paragraph. ▶️ Watch LangOps Core in 150 seconds
If you want to see how Coreons Multilingual Knowledge Graph fits into the bigger picture — three pillars (Knowledge, Data, LLM) integrated into a single application layer for multilingual AI — these are the most informative two minutes you will spend on the topic this month.
