Figure comes out of stealth with Index, a crowdsourced physical-data pipeline β 16M videos uploaded, $15M paid to creators, and a stated $1bn+ spend on data and compute over the next 12 months
Figure disclosed Index, a Figure-exclusive data-collection pipeline it had been running in stealth for four months to build what it calls the world's largest and most diverse physical dataset. Disclosed metrics: over 264,000 app downloads across 100+ countries, over 44,000 weekly active users, over 16 million videos uploaded by its network of "Creators", uploads running at 30 minutes of video every second (which Figure characterises as 4.9 years of human work uploaded per day), and $15m already paid out to contributors. Figure states it is "on a path to 100x" and is "committed to spend over $1B the next 12 months on data and compute". The argument is that generalisation is a data problem and that the data needed to train a general-purpose robot does not exist on the internet β it has to be sampled from the real world β so Figure is buying that distribution directly rather than scraping it. Why it matters: a stated $1bn+ 12-month data-and-compute commitment is a capital-scale disclosure from a private company, and it reframes Figure's moat as a proprietary data pipeline rather than hardware alone. All figures are company-stated and unaudited.