By Hamza Faisal
Flapping Airplanes, a year-old artificial intelligence research startup with no commercial product, has raised $1 billion in funding at a $6 billion valuation — one of the largest bets yet on the new crop of research-first “AI neolabs.”
The round, set to be announced Wednesday, was led by Index Ventures and Lux Capital, with participation from Sequoia Capital, Alphabet’s GV, and Kleiner Perkins, according to Bloomberg Law. The valuation — which includes the money raised — is four times what the company was worth in its January round, when it launched publicly with a $180 million seed round backed by GV, Sequoia, and Index Ventures.
A billion-dollar bet on doing more with less
Flapping Airplanes was founded in late 2025 by brothers Ben Spector and Asher Spector along with Aidan Smith, a Thiel Fellow and former Neuralink employee. Its research runs against the industry’s dominant strategy: instead of scaling up ever-larger datasets and compute, the company targets AI systems that need substantially less training data and computing power.
The bet is embodied in its “megakernels,” which run an entire program on a GPU as a single kernel, eliminating wasted time between steps. The idea is to make today’s chips more flexible and more valuable by getting more out of every dollar, every megawatt, and every byte of data — a thesis Index Ventures argues will unlock markets where AI is currently too expensive or data is too scarce, from robotics to life sciences.
With only a couple of dozen people working in person in San Francisco, Index describes the company as perhaps the most vertically integrated per capita in AI: the team works across the stack, from the kernels that run on GPUs through pre-training, post-training, and inference. Index partner Mark Xu is joining the board. Sequoia partner David Cahn has called the company a “young person’s AGI lab.”
The neolab gold rush accelerates
Flapping Airplanes is part of a broader wave of investors pouring billions into AI research labs that are focused on fundamental breakthroughs ahead of revenue. While the industry’s biggest names raise record sums to scale existing models, the neolabs are betting that the next leap will come from efficiency and algorithmic breakthroughs rather than brute-force compute.
Whether the research-first model delivers breakthroughs or just burns capital is the defining question of the AI boom’s next phase. For now, investors are voting with their wallets — and a one-year-old lab with no product just raised $1 billion on the promise of making AI cheaper to build.
By Hamza Faisal
