Data-efficient AI startup Flapping Airplanes secures $1B at $6B valuation
Flapping Airplanes, a year-old AI startup, raised a $1 billion Series A at a reported $6 billion valuation. The funding follows a $180 million seed round nine months earlier and will support its work on training models with much less data. The company is building a GPU framework aimed at making training and inference more efficient.
Flapping Airplanes launched nine months before this round with $180M in seed funding, then valued at $1.5B. Its new $1B Series A, co-led by Index and Lux, reportedly values it at $6B—four times the earlier figure. Sequoia, GV, Kleiner Perkins, Valor, Atreides, A*, and Nvidia are among backers.
The founders are Aidan Smith and brothers Asher and Ben Spector; their backgrounds include Neuralink, Stanford statistics and computer science studies, and Prod, a student-run accelerator. Their GPU software aims to combine training, inference, and other tasks in one program, reducing idle chip time and lowering model costs.
If the approach works, cheaper training and inference could broaden access to AI tools for smaller companies and researchers, while potentially reducing compute demand and energy use. Larger labs and chipmakers may face pressure to compete on efficiency. Workers and consumers could see more AI products at lower prices, though the actual benefits depend on performance, adoption, and whether efficiency gains are reinvested in larger models.