Flapping Airplanes Raises $1B Series A at a Reported $6B Valuation Nine Months After Its Seed Round

Flapping Airplanes is trying to build AI models that learn from far less data than today's frontier systems consume. The founders say the aim is to create intelligent systems without ingesting half the internet.

"A model that's a million times more data efficient is probably a million times easier to put into the economy," co‑founder Asher Spector said shortly after the startup launched. He has also said the basic thesis is that demand for AI will outpace chip and data supply, and that getting 10 percent more performance out of each chip would be tremendously valuable economically.

Most of the company's first year went into new primitives for graphics processing units, or GPUs. The company says this work enables new algorithms that could dramatically reshape AI's cost structure. The founders have built what they call the most complete megakernel framework. According to Index, a megakernel runs an entire program on a GPU as a single kernel, so the chip stops losing time between steps. The company says its framework can handle a full training run, serve inference and play a video game at the same time inside one kernel, and that it can overlap memory‑bound inference with compute‑bound training on the same chip.

Ben Spector is chief executive. He started the student‑run startup accelerator Prod while at the Massachusetts Institute of Technology and is now a computer science doctoral student at Stanford. In 2024 he was lead author of ThunderKittens, an open‑source toolkit for writing fast GPU kernels. His brother Asher Spector holds a statistics doctorate from Stanford. Aidan Smith, the third co‑founder and a Thiel Fellow, worked at Neuralink during college.

Index describes a team of a couple dozen people working in person in San Francisco. Sequoia partner David Cahn, an investor in the lab, wrote earlier this year that the founders are building the young person's AGI lab.

Flapping Airplanes is one of a growing group of AI research startups, sometimes called neolabs, that focus on research before products. Yann LeCun's AMI Labs raised about $1 billion in March, and Mirendil raised $200 million in June. Safe Superintelligence has reportedly raised $5 billion.

The round lands during a period of heavy funding for AI. According to Dealroom, AI accounted for 64 percent of global venture funding in the third quarter, and the Flapping Airplanes round ranks in the top 1 percent by size among comparable early‑stage deep tech deals in the United States.

The company has no product and no revenue to report. The new capital is intended to fund hiring and the lab's research goals.