Ex-Twitter CEO Parag Agrawal bets big on AI with Parallel
Former Twitter CEO Parag Agrawal’s new venture focuses on research designed to help AI agents outperform both humans and rival models in complex web-based tasks
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Published: Aug 20, 2025 12:52 PM | 2 min read
Parag Agrawal, the former CEO of Twitter (now known as X), has made a comeback to the tech industry with Parallel Web Systems, a startup that seeks to create a "web for machines." Agrawal left Twitter in 2022 after Elon Musk took over, and he is now working on developing the infrastructure that will enable real-time internet interaction for AI systems.
Parallel is creating the tools and APIs needed for AI agents to efficiently retrieve, validate, and arrange web content. The company claims that their package of solutions, which includes deep research APIs and low-level search tools, can surpass industry-leading models like OpenAI's GPT-5 on web-based research benchmarks.
In sophisticated web navigation tasks, Parallel's research API outperformed GPT-5 with 58 percent accuracy on OpenAI's BrowseComp benchmark, while human users received a score of 25 percent.
Unlike conventional search algorithms that are intended for human browsing, the startup's infrastructure has been specifically created for how computers consume information. According to Parallel, this method enables AI agents to finish hours of human labour in a matter of minutes. Early applications include financial tools that analyse regulatory filings, coding assistants that synthesize paperwork, and AI sales agents that conduct lead research.
The business has already raised $30 million from investors such as First Round Capital, Index Ventures, and Khosla Ventures. Experience from Twitter, Google, Stripe, Airbnb, and other top companies is brought to the table by its founding team.
According to Agrawal — who earned his PhD from Stanford after completing his studies at IIT Bombay — Parallel is positioned as a cornerstone of the upcoming web architecture. In the near future, the company intends to diversify into programmable web inquiries, continuous monitoring systems, and long-horizon AI agents.
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