Pangeanic Receives the Highest Score in the Innoglobal 2025 Call for an Enterprise AI Project
RESEARCH AND INNOVATION
RESEARCH AND INNOVATION
The next phase of enterprise AI will be decided less by access to generic models and more by who controls the data, the cost, the deployment, and the judgment behind them. In a recent LT-Innovate conversation with its Vice Chairman, Bruno Herrmann,...
Data spaces cannot create value if the organizations sharing data do not share the same language. AI models cannot reason reliably over specialized domains if the concepts behind the words remain...
Beyond data and language models, automotive AI needs a shared understanding of knowledge and EcoDrive TermSpace explores how ontologies can become the semantic foundation that makes enterprise AI more reliable, interoperable, and scalable.
A philosophical concept from medieval logic has become the backbone of modern operational intelligence
Palantir's CTO Shyam Sankar declared on the Q1 2026 earnings call that "tokens are the new coal" and "AIP is the train. It is a clever soundbite,...
Arabic machine translation is accurate enough for some tasks and unreliable for others. The difference is not the model. It is the structure of the language and the context in which it is used.
The current phase of artificial intelligence looks less like a straight ascent toward general capability and more like a fractured terrain of sharp...
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...
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...