The European Ai challenge passes through start-ups: the cases of Italy, France and Lithuania
Europe tries to close the gap in AI with investments and projects, but challenges such as data and scale hold back its progress
by Luca Salvioli (Il Sole 24 Ore), Sarah Rost (Voxeurop, France), Justė Ancevičiūtė (Delphi, Lithuania)
7' min read
7' min read
The new digital revolution, which passes through that set of technologies encapsulated in the definition of generative artificial intelligence, originated, like its predecessor, mainly from the American Silicon Valley. From names like OpenAI and Google. China has caught up with DeepSeek, but it has taken a while, and it is still not up to speed. Europe? As with online search technologies and social media, it has stayed out of the game. With technologies used by its citizens, but with very few technological players. Can this situation change?
The discourse is complex. The European Commission, aware that our continent is lagging behind, announced a plan in February that will mobilise EUR 200 billion of investment in Ai, including a new European fund of EUR 20 billion for gigafactories. But in the meantime, is there entrepreneurial ferment here too? What are our start-ups doing?
Italian start-ups: which model for European AI?
Translated, an Italian company specialising in AI-enhanced machine translation, founded by Marco Trombetti and Isabelle Andrieu, has been based in Rome since 1999. But it makes 85% of its turnover in California. It is one of the world's big names in translation: the latest turnover is 80 million with 16 ebitda. The company has always specialised in machine translation tools with AI, and has now developed 'Lara', a model capable of explaining why it translated one way or another and improving on it, and asks the user if he or she wants to add context or indicate what tone is best to adopt in the answer.
The company is leading DVPS ('Diversibus Viis Plurima Solvo'), an ambitious project funded by the European Union with EUR 29 million under Horizon Europe. The aim is to create a new generation of artificial intelligence models capable of multimodal learning, integrating text, images, audio and sensory input to understand the real world. The result would be an interactive and contextual Ai, useful in areas such as simultaneous translation in complex environments, medical diagnostics, disaster management and environmental monitoring. The consortium involves 20 research partners and companies from nine European countries. The operational centre is in Rome, at the Pi Campus, where 70 researchers are working on the development of the first results expected within the first year. In addition, Trombetti explains: 'We are raising a further 100 million euros to develop the computational part. In the field of translation, 'it is not worth developing a specialised Llm on a single European language', whereas specialisation offers opportunities.
Italian startup Exein, which offers cybersecurity solutions integrated into connected devices, has recently raised EUR 70 million in a Series C funding round. 'We have been active in Ai since 2019,' explains Gianni Cuozzo, founder and ceo of Exein, 'We do the inverse of Llm, that is, we miniaturise models. In Italy we are unlikely to be able to compete on large languages due to the cost of energy and the low international adoption of our language. The cost of maintenance over the years makes little sense because you cannot scale it up. It is easier to start from generalist models and have derivations in Italian. I understand the desire for technological sovereignty but on the basic models we cannot compete. We are focusing on the wrong things. On the other hand, I see a lot of verticality in the industrial world where Llm is still not being used well. Italy, which has strong skills in mechatronics, should focus on Ai applications in this field, it would become a multiplier'.


