The new project Parallel Web Systems, led by Parag Agrawal, could revolutionize the digital economy: its Deep Research API already automates millions of workflows, surpassing in certain benchmarks even the famous artificial intelligence of OpenAI GPT-5.
What is Parallel Web Systems and how does Deep Research API work?
Parallel Web Systems Inc. is the startup founded by Parag Agrawal, former CEO of Twitter (now X). The company has launched its first flagship product, called Deep Research API. We are talking about a platform dedicated to the automated collection and analysis of online information through autonomous agents, which are software powered by artificial intelligence capable of navigating, selecting, and interpreting data without human intervention.
As of today, as publicly stated by Agrawal on LinkedIn, a major public area company already uses the services of Parallel Web Systems to automate research and information processes, and millions of operations are performed every day by the platform. The “coding agents” (AI-driven development clients) leverage Deep Research API to find documents, fix bugs, analyze patterns: a leap in scale for productivity and speed.
Why would Deep Research API “beat” GPT-5 and the best AI models?
The sensational news concerns the benchmarks. According to Agrawal, the Deep Research API surpasses humans and leading models like GPT-5 in specific web data collection and extraction tasks. This represents a significant advancement in the race between artificial intelligences.
Although the specific benchmarks have not been made public in detail, Agrawal’s statement emphasizes that the new platform facilitates “research that current generalist models do not handle properly,” the result of algorithms built specifically for the needs of the modern web.
The company, recently founded, has already raised 30 million dollars in investments, and has a small team of 25 people: engineers, data scientists, and product leaders who come from the top tech players.
The return of Agrawal after Twitter: why did he choose AI agents?
After the conclusion of his tenure as CEO of Twitter in October 2022, Parag Agrawal had several notable offers:
“They wanted me to fix problems in struggling tech companies – he stated to Bloomberg – but I knew that AI would be my true focus.” He returns to working on machine learning, a specialty he had already practiced as CTO under the guidance of Jack Dorsey on Twitter.
Initially, he had considered a project “AI for healthcare,” but he quickly realizes that the real breakthrough is elsewhere:
“I understood that the future of the web would not be driven by humans, but by AI agents.”
What are AI agents and why will they dominate the web?
The AI agents are autonomous software capable of performing complex tasks online, from data collection to content generation, without direct human instructions for each task. According to Agrawal, by the end of 2025 these agents will be more numerous than human users online. Your digital presence, therefore, will be “replicated” by dozens of agents acting on your behalf: “I predict that each of us will have at least 50 active agents on the web.”
This view is shared by other key stakeholders: Kevin Leffew and Lincoln Murr from Coinbase, for example, consider autonomous agents as the “next big driver of the Ethereum blockchain”.
What are the implications for Ethereum, stablecoin, and decentralized e-commerce?
AI agents capable of executing financial tasks on blockchain are redesigning everything: thanks to EIP-3009 – a “dormant” update of the HTTP standard – and smart contracts on Ethereum, it will be possible to automate transactions in stablecoin without direct human participation.
It means enabling revolutionary use cases: autonomous taxis that pay for their own fuel, content generators that monetize with the token by the millisecond, supply chains monitored by AI always connected to global databases, fully automated on-chain marketplaces. A “handover” from the human web to algorithmic delegation, which could explode starting next year.
What to expect now from Parallel Web Systems and AI agents?
The future of Parallel Web Systems, powered by the investments and know-how of its founder, intertwines with the new era of the agent economy. Deep Research API is just the first piece: already today it shows the ability to scale, automate, and “beat” the competition across numerous verticals of web research.
The scenario painted by Parag Agrawal is not futuristic but extremely near: the internet populated by intelligent agents will change the rules for businesses, developers, and individual users. Those who can grasp and master these tools will be ready for the next turn of the web. Everything can change in the coming weeks: follow the evolution of Parallel Web Systems and stay updated on the new frontiers of the AI agent economy.
