Flapping Airplanes, an artificial intelligence research lab founded in late 2025, announced today that it has raised $1 billion in its Series A round, achieving a valuation of $6 billion. The round was co-led by Index Ventures and Lux Capital, with participation from existing investors Sequoia Capital, GV (Alphabet's venture arm), Kleiner Perkins, Valor, Atreides, and Nvidia. The valuation has quadrupled from its January seed round, when the company raised $180 million at a $1.5 billion valuation.
The company was founded by Aidan Smith and twin brothers Asher and Ben Spector. Smith is a former founder and Thiel Fellow who worked at brain implant company Neuralink during college. Asher Spector earned a PhD in statistics at Stanford, while Ben Spector was a PhD student in computer science at Stanford and founded Prod, a student incubator that Sequoia partner David Cahn described as one of the most powerful talent incubators in Silicon Valley. Together, the founders are building what Cahn called the young person's AGI lab.
The company's central thesis is ambitious: AI demand will outpace chip and data supply. "Getting 10% more performance out of each chip would be tremendously economically valuable," Asher Spector told Bloomberg. To achieve that, the company is developing what it describes as the world's most complete megakernel framework — a system capable of packaging entire training runs, inference serving, and even video game execution inside a single GPU kernel. The premise is that AI has barely scratched the surface of what GPUs can deliver.
The megakernel concept allows the company to overlap memory-bound inference with compute-bound training, the team explains. Instead of the chip sitting idle while waiting for data fetches or waiting for calculations to complete, both tasks run simultaneously. The result would be a system that operates without ingesting half the internet, as Ben Spector put it.
The company's name is intentionally provocative. "Think of the current systems as big, Boeing 787s. We're not trying to build birds. That's a step too far. We're trying to build some kind of a flapping airplane," Ben Spector told TechCrunch. The analogy captures the company's philosophy: rather than incrementally improving what already exists (like trying to imitate birds, something the earliest aircraft failed at), Flapping Airplanes wants to build something fundamentally different.
Flapping Airplanes fits into an emerging category of neolabs — AI startups focused purely on research with no commercial products. Other companies in this space include Yann LeCun's AMI Labs (which raised approximately $1 billion in March) and Mirendil ($200 million in June). The sector is hot: Q3 2026 was a record quarter for billion-dollar rounds, with AI representing 64% of global venture capital investment.
Yet the combination of high valuation, zero revenue, and no product is risky. Dealroom noted the company is among the largest early-stage deep tech rounds on record in the US, ranking in the top 1% across 3,497 comparable deals. The valuation leaves little room for the research to disappoint — and unlike companies like Recursive (which has a functional, if self-generated, model) or Legora (which already has a commercial legal-tech product), Flapping Airplanes has no published benchmarks or production deployments to show.
The megakernel approach draws on Ben Spector's earlier research at Stanford's Hazy Research group, particularly his work on ThunderKittens — a domain-specific language and library for writing high-performance GPU kernels. The current company extends that line of work from individual optimized kernels toward whole-workload scheduling.
The question hanging over this round is whether the AI market is preparing for the next wave of pure research labs, or whether Silicon Valley is simply repeating its cycle of massive bets on unproven promises — only this time with $6 billion at stake.
Sources: TechCrunch, AlphaSignal, Hazy Research
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