Parallel Web Systems Secures $100 Million Series B at $2 Billion Valuation to Scale AI Web Infrastructure

New updates have been reported about Parallel Web Systems.

Parallel Web Systems has raised a $100 million Series B round at a $2 billion valuation, more than doubling its valuation from a Series A completed five months earlier and bringing total funding to $230 million. The round was led by Sequoia Capital, with partner Andrew Reed joining Parallel’s board and existing investors, including Kleiner Perkins, Index Ventures, and Khosla Ventures, increasing their stakes.

Founder and CEO Parag Agrawal said the funding will accelerate infrastructure that lets AI agents access and use the open web at scale, as background agents move from pilots into production across multiple industries. Parallel’s APIs and proprietary web index now underpin workloads for over 100,000 developers and customers ranging from AI-native startups to Fortune 500 enterprises, supporting use cases such as legal reasoning, knowledge work automation, lead monitoring, property research, claims processing, and financial risk intelligence.

The company plans to deploy the new capital to expand its web index, grow its enterprise customer base, and deepen its infrastructure layer that links content and data owners to AI systems. A strategic priority is building economic mechanisms that give publishers and data providers a direct stake in how AI uses their content, aiming to keep the web open as AI agents become its primary users.

Customer leaders at Notion and Harvey highlighted that Parallel’s infrastructure is critical for agents that must synthesize internal data with live, open-web context to deliver high-end legal work and collaborative knowledge tasks. As long-horizon agents begin to redefine products across sectors, Parallel is positioning itself as core plumbing for AI-driven workflows, with Sequoia’s Reed emphasizing that top AI teams globally are standardizing on Parallel to power the next generation of web infrastructure for agents.