In a major move for the AI infrastructure layer, Parallel Web Systems has raised $100 million in Series B funding, propelling the startup to a $2 billion valuation. Led by Sequoia Capital, the round comes just five months after the company’s Series A, more than doubling its valuation and bringing its total capital to $230 million.
Founded by CEO Parag Agrawal, Parallel is building the infrastructure for a future where AI agents, rather than humans, are the primary users of the web. Agrawal’s thesis is that agents will eventually utilize the web a thousand times more than humans, predominantly through background tasks that require real-time, structured data retrieval.
Currently, Parallel serves over 100,000 developers and high-growth enterprise clients, including Notion, Harvey, and Opendoor. These platforms use Parallel to ground their AI in live data—ranging from Harvey’s legal agents accessing documents across 60 jurisdictions to Opendoor automating complex property research. Sequoia Partner Andrew Reed, who joins Parallel’s board, noted that the world’s leading AI teams are gravitating toward the platform to power “long-horizon agents” capable of complex, multi-step workflows.
The new capital is earmarked for accelerating index growth and expanding Parallel's enterprise footprint. Perhaps most significantly for the broader ecosystem, Parallel is developing market mechanisms designed to compensate publishers and data owners when AI systems utilize their content. By creating an economic bridge between AI agents and the open web, Parallel aims to ensure the internet remains a viable resource even as automated systems become its dominant users.
