Shofo

The video training data problem is about to become the biggest bottleneck in AI—and Shofo just built the solution. They're calling themselves "Common Crawl for Video," which is the perfect way to understand what they do: taking millions of hours of raw video, cleaning it up, segmenting it into usable clips, and labeling it so AI labs can actually train on it. No more scraping YouTube manually. No more garbage data polluting your models. Shofo has assembled the world's largest video library and made it actually usable.

Right now, every AI company is hungry for high-quality video data. Training video understanding models, robotics systems, autonomous vehicles, you name it—they all need massive amounts of labeled video to get good. The problem is that video data is messy, unstructured, and unbelievably hard to process at scale. Shofo handles all of that. They're already delivering specialized datasets like cooking videos with hand-object interactions, which is exactly the kind of nuanced, real-world data that makes models actually useful. Y Combinator saw something here, and that's usually all the signal you need.

The AI data market is exploding and video is the next frontier. Shofo is positioning themselves as the infrastructure layer that every AI lab is going to need. They're in Mountain View and they're looking for AI companies who need better training data. Get in early.