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AI startup Flapping Airplanes raises $1B Series A at reported $6B valuation, co-led by Index and Lux

1 fonte(s) · 1 atualização(ões) · publicado 21/10/2026 17:57 · coletado há 17 horas

Year-old AI startup Flapping Airplanes announced a $1 billion Series A round co-led by Index and Lux, reportedly at a $6 billion valuation. The round comes nine months after a $180 million seed round from GV, Sequoia and Index that valued the company at $1.5 billion. Other investors include Kleiner Perkins, Valor, Atreides, A* and Nvidia. The company was founded by Aidan Smith and brothers Asher and Ben Spector, and aims to train large models with far less data. This is business and funding news with no security incident, vulnerability or threat activity, and no direct impact for defenders.

Detalhes técnicos

The founders describe their work as a "megakernel framework" that can run training, inference and other workloads in a single GPU kernel. They claim it can overlap memory-bound inference with compute-bound training so the chip is rarely idle.

Linha do tempo

  1. techcrunch.com ↗ · pub. 21/10/2026 17:57 · coletado 21/10 18:00 primeiro registro

    AI startup Flapping Airplanes raises $1B Series A at reported $6B valuation, co-led by Index and Lux

    ler a análise desta fonte

    Year-old AI startup Flapping Airplanes announced a $1 billion Series A round co-led by Index and Lux, reportedly at a $6 billion valuation. The round comes nine months after a $180 million seed round from GV, Sequoia and Index that valued the company at $1.5 billion. Other investors include Kleiner Perkins, Valor, Atreides, A* and Nvidia. The company was founded by Aidan Smith and brothers Asher and Ben Spector, and aims to train large models with far less data. This is business and funding news with no security incident, vulnerability or threat activity, and no direct impact for defenders.

    Technical Details

    The founders describe their work as a "megakernel framework" that can run training, inference and other workloads in a single GPU kernel. They claim it can overlap memory-bound inference with compute-bound training so the chip is rarely idle.