We discuss **Parallel Web Systems**, a company aiming to build the foundational infrastructure for what it terms the "programmatic web," where artificial intelligence agents, not humans, become the primary users. We argue that current web architecture, designed for human interaction, is **insufficient for AI agents** due to issues like data staleness, hallucinations, lack of verifiability, and prohibitive costs. Parallel offers an **API-first solution suite** with various AI research engines and specialized APIs, engineered from the ground up to provide **structured, machine-ready data** and combat the unreliability of large language models. The company's strategy focuses on **proprietary, machine-first architecture**, aiming to establish itself as the **category leader** in AI Agent Web Infrastructure by solving critical pain points for developers and enterprises.
