Four-week-old AI startup raises record €105m for European expansion

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A French start-up founded four weeks ago by three former Meta and Google artificial intelligence researchers has raised €105 million in the largest seed round in Europe’s history.

In Mistral AI’s first funding round, the Paris-based company is expected to raise 240 million euros, including the proceeds, according to people close to the company. The record amount of funding highlights the growing enthusiasm around AI and Europe’s desire to create viable alternatives to Silicon Valley firms such as Microsoft-backed OpenAI and Google’s DeepMind.

Arthur Mensch, CEO of Mistral, said: “There is an awareness of the fact that this technology is transformative and that Europe needs to do something about this technology, both as regulators, as customers and as investors. is rising,” he said.

The former DeepMind researcher founded the startup with Timothy Lacroix and Guillaume Lampre. Both recently left Meta after working for Facebook’s parent company for the past few years.

Lightspeed Venture Partners, an early backer of companies like Snapchat, Epic Games and StabilityAI, is leading the Mistral round. Other investors include former Google CEO Eric Schmidt, French telecommunications billionaire Xavier Niel, and French government-backed investment bank Vip France, among others. It is an expression of sexuality.

Mistral has yet to develop its first product, and its first few employees started working just a few days ago. The company plans to launch a new “large-scale language model” early next year, similar to the “generative AI” system that powers OpenAI’s groundbreaking ChatGPT app.

Lightspeed partner Antoine Moileux said the unprecedented scale and speed of Mistral’s funding reflects the expertise of its three founders, all in their early 30s.

“There are 80 to 100 people around the world who have the same level of experience as them,” says Moirou. “Today, for better or worse, the capital needs of computing and top talent are [launching an AI start-up] It’s a pretty capital intensive game. “

According to Dealroom.co, which tracks private tech investments, Mistral’s funding is Europe’s largest ever seed round, a term usually used to refer to a startup’s first institutional round. More than $4 billion was invested in AI-related companies in Europe this year, including in the UK and Israel, according to Dealroom data. This figure is comparable to US$25 billion.

AI companies continue to raise billions of dollars, fueled by optimism that generative AI can transform industries from customer service to programming, despite a sharp downturn in private tech deals over the past year ing. Since the beginning of 2023, a handful of AI startups have achieved at least $1 billion valuations, including US-based Anthropic, Adept, Character.AI and German AI-powered translation service provider DeepL. are doing.

The Mistral Round addresses the regional need for European policy makers and politicians to develop a foothold in generative AI to avoid the negative impacts seen in innovations such as social media in the last few decades, as well as the emerging It came at a time when we were trying to find a balance with the desire to regulate technology. .

Jean-Charles Samulien Verve, chief executive of French healthtech startup Alain, said: “Europe needs to demonstrate once and for all how beneficial it is to control one’s own destiny in terms of technology.” said. Advisor to Mistral.

French President Emmanuel Macron, who will be with Mensch at a tech conference in Paris on Wednesday, said Europe needed top-tier companies in everything from technology to energy to defense to avoid dependence on the United States and China. promoted the idea that there is

Cédric Orr, former Macron’s digital minister and now an adviser to Mr Mistral, said AI tools will become “essential to the competitiveness of the economy” in the near future. “We don’t want foreign companies to take all our value,” he said.

The European Parliament recently proposed legislation restricting what AI companies can do when creating and training models. Echoing widespread industry concerns, Mensch warned that the bill was “as is”. [would] It is very difficult to actually innovate in an area whose implications are not yet well understood. ”



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