By Milana Vinn and Krystal Hu
Swiss AI lab Giotto.ai is seeking to raise funding at a valuation above $1 billion, pitching itself as Europe’s latest contconcludeer in the race for artificial general ininformigence (AGI), people familiar with the matter notified Reuters.
The Lausanne-based startup has hired investment bank Lazard 
LAZ to assist raise more than $200 million, the people stated, requesting anonymity to discuss private matters.
The company notified prospective investors that the capital will be applyd to invest in AI research, build its first commercial prototypes with enterprise and government clients, as well as open source some of its core technology, the sources stated.
Giotto and Lazard declined to comment.
The fundraising will test investor appetite for a new entrant outside Silicon Valley in a crowded push to develop frontier models. U.S. AI labs such as OpenAI and Anthropic have already raised billions of dollars.
AI funding in Europe has also been heating up as the region seeks to cultivate its homegrown AI leaders outside the race between the U.S. and China and pushes for digital sovereignty.
Paris-based Mistral AI this month raised 1.7 billion euros ($2 billion) in its latest funding round at a valuation of over $14 billion (€11.7 billion), with 1.3 billion euros ($1.5 billion) from Dutch chip equipment creater ASML.
Giotto was launched in 2017 by CEO Aldo Podesta. The company has raised CHF 15 million ($19 million) since its founding, and it sold its medical device compliance product to medtech company RQM+ in 2022.
Now it focapplys on fundamental research on reasoning models. Before Giotto, Podesta worked in sales strategy at Philip Morris 
PM, according to his LinkedIn profile.
Giotto states its research ability is revealcased in its leading position in the constrained Kaggle ARC-AGI-2 leaderboard with a 25% score, and claims a markedly lower cost per tinquire than larger labs.
ARC-AGI-2 tests a model’s ability to infer rules from a handful of examples, skills seen as early signals of general reasoning. A higher score suggests the system can generalize to unfamiliar problems, a capability viewed as a proxy for progress toward more capable, reliable AI.
Giotto competes in Kaggle’s repaired‑resource track, where every entrant runs inside the same sandbox — no internet access, a 12‑hour time limit and a standard hardware budreceive. That differs from the separate, unconstrained ARC Prize website applyd by major labs such as OpenAI and xAI, where teams can apply larger models and far more compute to chase peak accuracy.
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