　　But unlike Playground’s $300 million accompanying venture capital arm and Element’s own coffers, Launchpad Studio doesn’t actually have any capital to deploy. On one hand, capital completes the package. On the other, I’ve never heard a good AI startup complain about not being able to raise funding.

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　　Launchpad Studio sits on top of the Google Developer Launchpad network. The group has been operating an accelerator with global scale for some time now. Now on its fourth class of startups, the team has had time to flesh out its vision and build relationships with experts within Google to ease startup woes.

　　“Launchpad has positioned itself as the Google global program for startups,” asserts Glasberg. “It is the most scaleable tool Google has today to reach, empower, train and support startups globally.”

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　　With all the resources in the world, Google’s biggest challenge with its Studio won’t be vision or execution — but this doesn’t guarantee everything will be smooth sailing. Between GV, Capital G, Gradient Ventures, GCP and Studio, entrepreneurs are going to have a lot of potential touch-points with the company.

　　On paper, Launchpad Studio is the Switzerland of Google’s programs. It doesn’t aim to make money or strengthen Google Cloud’s positioning. But from the perspective of founders, there’s bound to be some confusion. In an ideal world we will see a meeting of the minds between Launchpad’s Glasberg, Gradient’s Anna Patterson and GCP’s Sam O’Keefe.

　　The Launchpad Studio will be based in San Francisco, with additional operations in Tel Aviv and New York City. Eventually Toronto, London, Bangalore and Singapore will host events locally for AI founders.

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　　Applications to the Studio are now open — if you’re interested you can apply here. The program itself is stage-agnostic, so there are no restrictions on size. Ideally early and later-stage startups can learn from each other as they scale machine learning models to larger audiences.