

In an attempt to compete with strong AI models like GPT-5 and undermine Elon Musks vision in the AI race he founded a new business called Parallel Web Systems Inc.
Parag Agrawal launched new new startup
New Delhi: Parag Agrawal makes a powerful return to the field of artificial intelligence with his new startup Parallel Web Systems following his dismissal by Elon Musk. Parag Agrawal the former CEO of X (Twitter) has made a remarkable comeback to the field of artificial intelligence (AI).
In an attempt to compete with strong AI models like GPT-5 and undermine Elon Musks vision in the AI race he founded a new business called Parallel Web Systems Inc.
The cloud platform being developed by Parag Agrawal's new business will enable AI systems to swiftly and effortlessly gather trustworthy and accurate data from the internet.
According to the company although the internet was initially designed with humans in mind AI machines are currently its biggest users. Thus in order to better support AI the internet must change.
The platform functions by enabling AI systems to merely define the data they require. Real-time data is then collected from the internet and effectively processed by Parallels engine. Crucially it acknowledges and rewards the original information sources. Parallel gives AI users reasoning and useful insights in addition to search results unlike traditional search engines.
Parallel is used to power millions of research tasks every day according to a LinkedIn post by Parag Agrawal. This platform is used by numerous rapidly expanding AI businesses. He added that a publicly traded company had used Parallel to automate human labor with accuracy superior to that of humans.
The system has eight distinct research engines with different depths and speeds according to a Parallel blog post. The most sophisticated engine known as Ultra8x can take up to 30 minutes for in-depth research while the fastest engine can react in less than a minute.
According to Parallel Ultra8x outperformed OpenAIs GPT-5 by over 10% in benchmarking tests such as BrowseComp and DeepResearch. The implications of this for AI. By improving the speed depth and dependability of online research Parag Agrawal's Parallel Web Systems have the potential to transform the way AI engages with the internet.