Parag Agrawal, the former CEO of Twitter, has launched a new AI startup called Parallel Web Systems, which aims to revolutionize how artificial intelligence systems interact with the internet. The startup is building infrastructure specifically designed for AI, allowing machines to consume, process, and act on information more effectively than humans ever could.
Parallel Web Systems has secured $30 million in funding from top investors, including Khosla Ventures, Index Ventures, and First Round Capital. The company claims that its technology outperforms leading AI models like GPT-5 in web research benchmarks. Agrawal believes that AI agents will become the primary users of the web, executing research, analysis, and automation at a scale far beyond human capability.
The startup's deep research APIs and low-level search tools enable AI agents to fetch information from the web in real-time, verify sources, and ensure credibility and accuracy. Parallel's technology has already been adopted by startups and enterprises, processing millions of research tasks daily. A public company has also integrated Parallel's technology to automate workflows traditionally done by humans, achieving results that exceed human-level accuracy.
Agrawal's vision for Parallel Web Systems is to create a "web for machines" that allows AI agents to perform complex tasks with unprecedented speed and precision. With its innovative approach, Parallel Web Systems is poised to transform how AI interacts with information on the web.
