Former Twitter CEO Parag Agrawal’s new venture, Parallel Web Systems, has raised $100 million in a Series A round to build advanced AI search infrastructure that enables artificial intelligence agents to browse and retrieve live web data. The funding round, co-led by Kleiner Perkins and Index Ventures, values the company at $740 million and includes participation from Khosla Ventures and other existing investors.
Parallel aims to address a fundamental shift in how the internet is being used — from humans searching the web to AI models and agents becoming the primary users. The company’s APIs allow AI systems to search, process, and integrate real-time information from the web to perform complex tasks, such as writing code, analysing financial risk, or automating customer operations.
Reimagining Search for the AI Era
Agrawal explained that Parallel’s infrastructure replaces traditional search engine models with machine-to-machine search optimisation. Instead of ranking web links for human clicks, Parallel’s system returns structured “tokens” directly usable by AI models, reducing hallucinations and improving contextual accuracy.
“We’re not depriving AI agents of web access any more than we’d stop a lawyer or analyst from using the internet,” Agrawal said. He added that Parallel’s customers — including enterprises in finance, software, and insurance — use its platform to combine public web data with proprietary datasets, improving model reliability and decision quality.
Parallel’s technology, he said, offers superior accuracy and cost efficiency compared to the built-in search capabilities provided by large AI model developers.
Addressing the Web Access and Paywall Problem
The company also plans to tackle one of the growing challenges of the AI era — restricted access to online content. As publishers and social media platforms increasingly lock data behind paywalls and login barriers to prevent AI scraping, Parallel intends to create an “open market mechanism” that compensates content owners for making data accessible to AI systems.
While Agrawal did not disclose specifics, he said the initiative would establish a sustainable economic model where publishers and creators benefit from AI-driven data consumption instead of blocking it. This could reshape how the web economy functions in a world where AI, not humans, becomes the dominant information consumer.
Backed by Industry Veterans and Early Traction
Founded in 2023, Parallel launched its first products in August 2025 and now counts several large AI developers as early clients. The company’s small, high-skilled team is focused on product expansion, infrastructure scaling, and content partnership deals using the newly raised funds.
“The next phase of the web isn’t just searchable — it’s interpretable by machines,” Agrawal said. “Our mission is to build the connective tissue that lets AI systems interact with the live internet responsibly and intelligently.”
