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    Home - AI & Tech - AI Trade Rivals Are Teaming Up on a Startup Accelerator
    AI & Tech

    AI Trade Rivals Are Teaming Up on a Startup Accelerator

    Naveed AhmadBy Naveed AhmadFebruary 11, 2026No Comments4 Mins Read
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    The biggest western AI labs are taking a break from sniping at each other to associate on a brand new accelerator program for European startups constructing functions on prime of their fashions. Paris-based incubator Station F will run this system, named F/ai.

    On Tuesday, Station F introduced it had partnered with Meta, Microsoft, Google, Anthropic, OpenAI and Mistral, which it says marks the primary time the corporations are all taking part in a single accelerator. Different companions embody cloud and semiconductor corporations AWS, AMD, Qualcomm, and OVH Cloud.

    An accelerator is successfully a crash course for early-stage startups, whereby founders attend courses and lectures, seek the advice of with specialists, and obtain introductions to potential buyers and prospects. The broad purpose is to assist startups convey concepts to market as rapidly as potential.

    The 20 startups in every F/ai cohort will bear a curriculum geared particularly towards serving to European AI startups generate income earlier of their lifecycle, in flip making it simpler to safe the funding required to increase into the biggest world markets. “We’re specializing in speedy commercialization,” says Roxanne Varza, director at Station F, in an interview with WIRED. “Traders are beginning to really feel like, ‘European corporations are good, however they’re not hitting the $1 million income mark quick sufficient.’”

    The accelerator will run for 3 months, twice a yr. The primary version started on January 13. Station F has not revealed which startups make up the cohort, however many have been really helpful by Sequoia Capital, Normal Catalyst, Lightspeed, or one of many different VC corporations concerned in this system. The startups are all constructing AI functions on prime of the foundational fashions developed by the partnering labs, in areas starting from agentic AI to procurement and finance.

    In lieu of direct funding, taking part founders will obtain greater than $1 million in credit that may be traded for entry to AI fashions, compute, and different companies from the associate corporations.

    With only a few exceptions, European corporations have thus far lagged behind their American and Chinese language counterparts at each stage of the AI manufacturing line. To attempt to shut that hole, the UK and EU governments are throwing a whole lot of hundreds of thousands of {dollars} at makes an attempt to help homegrown AI corporations, and develop the home information heart and energy infrastructure vital to coach and function AI fashions and functions.

    Within the US, tech accelerators like Y Combinator have produced a crop of family names, together with Airbnb, Stripe, DoorDash, and Reddit. OpenAI was itself established in 2015 with the help of funding from Y Combinator’s then analysis division. Station F intends for F/ai to have an analogous affect in Europe, making home AI startups aggressive on the worldwide stage. “It’s for European founders with a worldwide ambition,” says Varza.

    This system additionally represents an opportunity for the US-based AI labs to sow additional seeds in Europe, utilizing subsidies to incentivize a brand new era of startups to construct atop their applied sciences.

    As soon as a developer begins to construct on prime of a specific mannequin, it’s hardly ever simple to swap to an alternate, says Marta Vinaixa, associate and CEO at VC agency Ryde Ventures. “If you construct on prime of those programs, you’re additionally constructing for the way the programs behave—their quirkiness,” she says. “When you begin with a basis, not less than for a similar mission, you’re not going to vary to a different.”

    The sooner in an organization’s lifecycle it begins to develop on prime of a specific mannequin, says Vinaixa, the extra that impact is magnified. “The earlier that you simply begin, the extra that you simply accumulate, the tougher it turns into,” she says.



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