ARTIFICIAL INTELLIGENCE

Enterprises do not become intelligent by adding AI. They become intelligent when coordination disappears

I have been reading with real interest Rohit Krishnan’s writing and the recent Sequoia Capital essay by Jack Dorsey and Roelof Botha. They share a line of thinking that feels very close to my own view of multilingual AI, data sovereignty, and the...

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Pangeanic Strengthens the Linguistic Core of the MOSAIC Project with Multimedia Services

Pangeanic has played a leading role in the European MOSAIC project, contributing both strategic leadership during the initial phase and a key technological contribution during the platform integration and validation stage. 

With participation in...

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What is Model Alignment?

From Values Engineering to the Sovereign AI Era
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Founding member of DS4M Mediterranean Project

Pangeanic Joins DS4M Mediterráneo to Accelerate Data-Driven Sustainable Mobility in the Mediterranean Corridor

The initiative, promoted by the Ministry for Digital Transformation and led by INTRAS (University of Valencia), seeks to create a...

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Why Government Officials Should Avoid ChatGPT for Translation

When the mission is public safety, legal compliance, or national security, the price of "free" translation tools can be catastrophic. While ChatGPT Translate, Google Translate or DeepL offer convenience, they fail the most critical test for...

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6 things ECO Platform does and the new ChatGPT-translate does not

While Big Tech battles for consumer attention with basic UI layers, Pangeanic’s ECO Platform empowers localization professionals with deep adaptation, document fidelity, and faithful workflows.

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SAVIA: AI Virtual Assistant Platform, Knowledge Management

Pangeanic develops SAVIA: An AI-Powered Virtual Assistant Platform with funding from IVACE

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Enterprise Machine Translation Strategy 2026: Private AI, SLM & Governance

Editor’s Note (Updated January 2026): This guide was originally published in 2011 to document Pangeanic’s early transition into DIY MT software. It has been rewritten to reflect the shift from Statistical MT to Deep Adaptive Neural AI and Private...

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Evaluating Enterprise MT: Why BLEU is not enough and how COMET improves quality assessment

Enterprise buyers still see BLEU scores in RFPs, benchmarks, and vendor decks as a universal measure of “translation quality.” Yet BLEU was never designed to capture meaning, domain adequacy, or business impact; it measures string overlap with a...

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