Two years from departing Twitter after Elon Musk's takeover, Parag Agrawal has come up with an unconventional thesis about artificial intelligence. The founder who once commanded 330 million daily active users said that the web isn't becoming obsolete, it's becoming more essential than ever. On that belief, his startup Parallel Web Systems just raised $100 million in Series A funding, valuing the company at $740 million.
The round was co-led by Kleiner Perkins and Index Ventures, with participation from Spark Capital and existing backers Khosla Ventures, First Round Capital, and Terrain. Unlike most AI startups that chase consumer applications or large language models, Parallel is building something far more fundamental. The plumbing that allows AI agents to actually use the web as humans do.
When Parallel launched in August 2025, most observers dismissed Agrawal's central premise as contrary nonsense. The prevailing Silicon Valley wisdom held that large language models, trained on the entirety of the internet, had rendered web search obsolete. Why would AI agents need to search when they already "knew" everything?


