Flapping Airplanes, an AI research lab only about a year old, announced a $1 billion funding round on 21 October 2026. Bloomberg puts its valuation at $6 billion, a figure that includes the new money. The company has no commercial product and no revenue yet.
“A model that’s a million times more data efficient is probably a million times easier to put into the economy”
Asher Spector, co-founder, to TechCrunch, to TechCrunch · siliconangle.com ↗
Index Ventures and Lux Capital led the round, with Sequoia, GV and Kleiner Perkins also taking part. Nvidia, Jump Trading and XTX Ventures are among further backers named on X, and Index partner Mark Xu joins the board. SiliconANGLE calls the raise a Series A, while Dealroom describes it only as an early-stage round.
Dealroom's banner image for its note on the round
Image: Dealroom News
The price has roughly quadrupled in nine months. A $180 million seed in January, led by GV, Sequoia and Index at about $1.5 billion, took the lab's total funding to $1.18 billion with this round. CEO Ben Spector founded it with his brother Asher and Aidan Smith, and a couple of dozen people work in person in San Francisco.
About Flapping Airplanes
Flapping Airplanes is a San Francisco lab founded by the brothers Ben and Asher Spector with Aidan Smith. Its first big round came earlier in 2026: TechCrunch's Equity podcast, on 10 February, described a $180 million seed from Google Ventures, Sequoia and Index, and said the founders were betting on training that needs far less data than today's models, learning more as people do.
Index Ventures, which says it led that seed, wrote after the new round that the founders run the company "a bit like a test kitchen for frontier AI", with Ben as the source of ambitious ideas and Asher bringing analytical rigour.
2025
Founded
The stated aim is models that learn from far less data. Its first year went into new GPU primitives and a megakernel framework that runs training, inference and even a game inside one kernel. Dealroom sets the deal among a rush into research-first labs and cautions that the valuation leaves little room for the research to disappoint.
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