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Fundraising

Year-old AI Lab Flapping Airplanes Secures $1 Billion Funding at $6 Billion Valuation

By CodeRao Tech Desk · October 27, 2026 · 2 min read
Year-old AI Lab Flapping Airplanes Secures $1 Billion Funding at $6 Billion Valuation

Flapping Airplanes, a year‑old startup, has captured Silicon Valley’s attention with a strong founding team and a mission to train large models using far less data. On Wednesday the company disclosed a $1 billion Series A round, co‑led by Index and Lux, that values the firm at $6 billion. The financing arrives just nine months after Flapping Airplanes launched with a $180 million seed round backed by GV, Sequoia and Index, which had placed the company at a $1.5 billion valuation—four times its previous worth. Existing investors Sequoia, GV and Kleiner Perkins also participated in the new round, while Valor, Atreides, A* and Nvidia joined as additional backers.

The startup was founded by Aidan Smith and brothers Asher and Ben Spector. Smith, a former founder and Thiel fellow, worked at Neuralink while in college. Asher Spector earned a PhD in statistics at Stanford, and Ben Spector pursued a PhD in computer science at Stanford after founding Prod while at MIT. Prod is a five‑year‑old, student‑run accelerator that Sequoia partner David Cahn praised as “one of the most powerful talent incubators in Silicon Valley” in a post explaining his investment. Cahn described the trio as building “the young person’s AGI lab.”

Flapping Airplanes describes its technology as “the world’s most complete megakernel framework.” The system can run full training cycles, serve inference, play video games and even perform all three tasks simultaneously within a single kernel—a program that runs on a GPU. The founders say the framework can overlap memory‑bound inference with compute‑bound training, allowing a chip to stay active instead of idle. Their premise is that current AI barely taps the potential of GPUs, and that smarter systems can be built without ingesting half the internet. The ultimate aim is to lower the cost of training and operating models. Asher Spector told TechCrunch after the launch that “a model that’s a million times more data efficient is probably a million times easier to put into the economy.” With $1 billion now in the bank, the company plans to hire aggressively and turn its vision into reality.