The data bottleneck every AI startup hits before it scales

Investors scrutinize model quality and team traction while founders struggle to secure cheap, fresh training data. Open sources like Common Crawl offer petabytes but often lack freshness or commercial licensing clarity. Teams must scrape specific web pages using residential proxies to bypass blocks and avoid stale datasets that competitors already trained on.