Artificial Intelligence

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)

(Adobe Stock)

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?

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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'.

What the research says

According to Harvard University's Critical and Emerging Technologies Index, explained by the authors in this article, our country 'is among the few in Europe with a first-class supercomputing infrastructure and actively participates in the main global fora on AI. The scientific quality is there, as is an advanced regulatory framework thanks to the European AI Act, of which we are among the most convinced promoters. Yet, all this is not enough without a real bridge between research and industry. While France and Germany attract billions in venture capital investments, Italian start-ups struggle to scale. Our ecosystem still lacks players capable of developing founding models, such as LLMs (Large Language Models), and there are no national public-private consortia for the training of competitive models on an international scale'.

According to the latest report produced by the Artificial Intelligence Observatory of the Politecnico di Milano, the number of AI start-ups has increased from 697 in 2023 to 796 in 2024, with 156 new companies founded in the last year alone. However, this quantitative growth is not accompanied by a structural or dimensional strengthening of the ecosystem.

Italian AI start-ups remain mostly small, with average revenues in 2024 of around EUR 140,000, a level in line with previous years (EUR 177,000 in 2023, EUR 134,000 in 2022). These values highlight the difficulty for many realities to get out of the early stage and reach a sustainable scale, thus limiting their competitiveness, especially at an international level.

Mixed signals are also observed on the funding front. The average funding per AI startup in Italy grew in 2024 compared to the previous year, from 606 thousand euros to 1.77 million euros, but still remains lower than observed in other European contexts. In 2023, for example, Italian AI startups had only raised a total of EUR 59 million, compared to Germany's EUR 1,910 million, France's EUR 1,690 million and Spain's EUR 363 million.

Despite the overall critical situation, positive signs are being seen thanks to structural initiatives promoted at the institutional level. Prominent among these is the commitment of CDP Venture Capital, which has launched a EUR 1 billion fund dedicated to artificial intelligence, with the aim of financing start-ups, research projects and internationalisation paths.

France is the European leader in Ai, but there is the data access node

France is experiencing an explosion of artificial intelligence-related initiatives. According to data from the Governmental General Agency for Businesses, there will be over a thousand AI-related French start-ups in 2025, up sharply from 502 in 2021. The leading sectors are biotechnology and health (13%), followed by data and cloud (8%), as noted by France Digitale.

The ecosystem has also developed thanks to massive support from the public sector. In 2022, AI startups benefited from €1.5 billion in public funding, as part of the 'France 2030' strategy, launched back in 2018 to position the country at the head of the European race on AI.

In parallel, the 'French Tech 2030' programme selected 125 promising start-ups, including six specialised in AI. For these, support includes not only financial advice and international visibility, but also an exclusive network and a dedicated manager, as well as support in security and business development.

However, the picture is not without its criticalities. The main obstacle for AI start-ups in France, according to a recent survey conducted by France Digitale, is the difficulty in attracting investment and building sustainable business models. Historical problems such as the shortage of talent and computational power remain, but they are less pressing today than in other European countries.

The real challenge, however, seems to be access to data: one in four start-ups consider this to be the number one problem for the next 12 months, due to strict European privacy regulations, which make comparison with non-European counterparts particularly difficult. There is also growing concern over access to energy, often a priority for 'big players' such as Google or Microsoft.

"France is the European centre of AI start-ups. But this national leadership is no longer enough: Europe must build a unified ecosystem capable of offering turnkey solutions for businesses and public administrations,' said Maya Noël, Director General of France Digitale.

One of the symbolic stories of the French moment is that of Mistral AI, founded in April 2023 by Arthur Mensch, Guillaume Lample and Timothée Lacroix, former engineers at Meta and Google. It is the most important AI reality in Europe. Their open source model quickly gained international acclaim for its high level of performance, able to compete with those of OpenAI, Meta and Google. President Emmanuel Macron has publicly praised 'Le Chat', the conversational application developed by Mistral.

Bloomberg recently reported on Apple's possible interest in acquiring Mistral AI, but according to industry experts, these rumours are unfounded.

Lithuania, the new European hub for artificial intelligence?

Lithuania is accelerating on artificial intelligence, determined to carve out a leading role for itself on the European technology scene. Thanks to a national strategy launched as early as 2019 - the second in Europe after France - and a strong synergy between the government, the public sector and start-ups, the Baltic country is set to become the future AI hub in Europe.

The 'Brand Lithuania Team', a governmental structure for the promotion of the country, emphasises the efforts underway: from the creation of a AI sandbox to test innovative solutions in a protected regulatory environment, to the implementation of the European AI Act with the direct involvement of the Innovation Agency Lithuania and the National Communications Authority.

The investment is also economic: EUR 15 million has already been earmarked for deep tech start-ups, while another EUR 110 million will be used to digitise public services, with AI at the core. Key sectors include life sciences, CleanTech and AgriTech, where AI solutions are already being applied to early diagnosis, renewable energy and smart agriculture.

There is no shortage of success stories: healthtech Spike raised $3.5 million to develop systems based on data from wearable devices; Unmanned Defense Systems received $3.2 million for autonomous military technologies; Pixevia is experimenting with automated shops. The US giant CAST AI has also chosen Vilnius as its base for development outside the US.

Lithuania now boasts over 800 startups, an ecosystem valued at EUR 16 billion (+39 times since 2014), with giants such as Vinted, Nord Security and BCG already in the Olympus of unicorns. According to Dealroom, it is the fastest growing country in Central and Eastern Europe.

Deep tech also finds its place in this ferment: medical robotics, artificial intelligence for cardiac diagnostics and even DNA data storage solutions. But the obstacle remains European fragmentation. According to the Baltic Deep Tech Report, only 20% of academic patents reach the market, a sign of a lack of integration between research and business.

To bridge the gap with the US and Asia, Brussels has created the EUR 10 billion European Innovation Council, of which EUR 391 million has already been allocated to deep tech start-ups. And from this fund come important resources for innovative Lithuanian companies such as Ligence, Genomika and Sentante.

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