The emergence of the web data infrastructure layer for AI

Companies are increasingly building specialized infrastructure layers designed to harvest, clean, and structure vast amounts of web data for artificial intelligence models. This shift addresses the primary bottleneck for many enterprises, where valuable information remains trapped behind paywalls or in disorganized formats that machine learning systems cannot process. By automating the extraction and preparation of this data, these emerging tools aim to improve the performance and reliability of AI applications in professional environments.