Three years after stepping down as Twitter CEO during Elon Musk’s takeover, Parag Agrawal has made a bold comeback. His new venture, Parallel Web Systems, is an AI startup aiming to change how machines interact with the internet. The goal? Build infrastructure that lets AI agents access and understand the web in ways far beyond human capabilities. Backed by top Silicon Valley investors, the startup is already turning heads with its early performance. Agrawal’s vision positions Parallel as a key player in shaping the future of AI-driven web interaction.
Agrawal believes the future of the internet lies in machines. “AIs will use the web far more than humans ever have,” he said. At Parallel, his team is building tools for these new users, AI agents. These agents are designed to handle complex research tasks quickly and accurately.
The startup has created deep research APIs and low-level search tools. These let AI agents fetch, check, and sort web data in just minutes something that might take a human several hours.
Parallel’s tools are already making waves. On OpenAI’s BrowseComp benchmark, Parallel’s deep research APIs scored 58% accuracy, compared to 41% by GPT-5. Humans working with two-hour limits scored just 25%. On another test, DeepResearch Bench, which evaluates long-form AI research across domains, Parallel achieved an 82% win rate, topping GPT-5’s 66%. Agrawal credits this to building from scratch with every layer of the system optimized for how machines, not humans, consume information.
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So far, Parallel has raised $30 million from major Silicon Valley VCs, including Khosla Ventures, Index Ventures, and First Round Capital. The team includes former engineers from Twitter, Google, Stripe, and Waymo.