AI lab Flapping Airplanes secures $1 billion Series A at $6 billion valuation

Flapping Airplanes, a twelve-month-old artificial intelligence laboratory, announced on Wednesday that it closed a $1 billion Series A financing round. The round was co-led by Index and Lux and valued the company at $6 billion, a fourfold increase from its seed-stage valuation just nine months earlier. The infusion of capital gives the firm the resources to expand its engineering team and accelerate development of a new approach to training large models with dramatically less data.

The financing follows a $180 million seed round that launched the company in its first year. That seed round was led by GV, Sequoia and Index and placed Flapping Airplanes at a $1.5 billion valuation. In the latest round, existing backers Sequoia, GV and Kleiner Perkins participated alongside new investors Valor, Atreides, A* and Nvidia. The broad participation of both venture capital firms and a leading chip maker underscores the market’s appetite for breakthroughs that can lower the cost of AI compute.

Flapping Airplanes was founded by Aidan Smith and brothers Asher and Ben Spector. Smith is a former founder and Thiel fellow who spent time at Neuralink while in college. Asher holds a statistics PhD from Stanford and Ben earned a computer science PhD from Stanford after founding the student-run accelerator Prod at MIT. Prod, described by Sequoia partner David Cahn as one of the most powerful talent incubators in Silicon Valley, serves as a pipeline for the founders’ vision of a “young person’s AGI lab.”

The company’s core technology is a megakernel framework that can execute full training runs, serve inference, run video-game environments and even combine all three tasks within a single GPU kernel. By overlapping memory-bound inference with compute-bound training, the framework keeps the processor active and reduces idle time. The founders argue that current AI workloads leave much of the GPU’s capability untapped, and that their approach can achieve “intelligent systems without ingesting half the internet.” Asher Spector told TechCrunch that a model a million times more data-efficient would be a million times easier to bring into the broader economy.

For founders and investors, the round signals a growing willingness to fund infrastructure that promises to cut the massive compute bills associated with today’s large language models. If Flapping Airplanes can deliver on its promise of data-efficient training, it could reshape cost structures for startups that rely on AI, making advanced capabilities accessible to smaller teams. The $1 billion war chest also gives the company latitude to recruit top talent and scale its platform quickly, a critical factor in a field where speed to market often determines long-term relevance.

The next milestone for Flapping Airplanes will be demonstrating the megakernel’s performance at scale and translating its theoretical efficiency gains into commercial products. Investors will be watching closely to see whether the company can turn its ambitious vision into measurable reductions in training and inference costs, a development that could reverberate across the entire AI ecosystem.