
Parag Agrawal has launched Parallel Web Systems Inc., his first startup since being ousted from Twitter.
The company’s flagship product, Deep Research API, enables AI agents to autonomously perform complex research tasks.
Parallel has already raised $30 million and operates with a 25-member team.
Agrawal believes that AI agents will dominate Internet interactions, surpassing human users in daily activity.
His views align with recent projections from Coinbase developers on the future of autonomous AI on Ethereum.
After nearly two years out of the public eye, Parag Agrawal has unveiled his latest project: a startup designed to advance the capabilities of autonomous AI agents.
Agrawal recently announced Parallel’s flagship product, the Deep Research API, which, according to him, already surpasses both humans and top-tier AI models like OpenAI’s GPT-5 in some research benchmarks.

Source: LinkedIn
Parallel has raised $30 million in funding and is operated by a 25-person team, as reported by Bloomberg. The company is based in the U.S. and represents Agrawal’s most significant move since leaving Twitter in 2022.
Before becoming Twitter’s CEO in November 2021, Parag Agrawal served as the company’s Chief Technology Officer, where he focused heavily on machine learning and data infrastructure.
His rise to CEO under then-leader Jack Dorsey was seen as a strategic move toward deeper AI integration within the platform.
Agrawal’s tenure as Twitter CEO ended abruptly when Elon Musk acquired the company in October 2022, renaming it to X.
Alongside other executives, Agrawal was let go and later became part of a legal battle over $128 million in severance pay, a lawsuit that is still pending a final verdict.
After being sacked from Twitter, Agrawal told Bloomberg that he returned to AI research, reading papers and building code again.

Traditional Coding Vs Vibe Coding
Source: CoinTelegraph
After his Twitter exit, Agrawal didn’t jump at the first job offer. Instead, he turned down several opportunities at struggling tech firms and redirected his energy toward AI.
His original plan was to build an AI-driven healthcare startup. But he soon pivoted, realizing that AI agents, not humans, will be the primary drivers of future Internet activity.
Agrawal predicts that AI agents will soon outnumber humans online, performing tasks ranging from research to decision-making.
In his words:
“There’ll be more agents on the Internet than there are humans around. You’ll probably deploy 50 agents on your behalf to be on the Internet.”
This vision aligns closely with emerging trends in Web3, particularly within the Ethereum ecosystem.
Unsurprisingly, Agrawal isn’t alone in his belief that AI agents are the next frontier.
Developers at Coinbase recently echoed similar views, stating that autonomous agents could soon become Ethereum’s most active users.
Using lesser-known web standards and proposals like EIP-3009, AI agents could autonomously initiate stablecoin payments, consume web content, and even interact with dApps, all without human intervention.
Use cases could include:
Self-driving vehicles that pay for tolls or fuel
AI models that monetize content consumption
Smart contract agents that execute tasks on the blockchain
Parag Agrawal is the former CEO of Twitter and now the founder of AI startup Parallel Web Systems Inc. He previously served as Twitter’s CTO and has a background in machine learning and data engineering.
It’s a new AI startup founded by Agrawal, focused on building tools that allow AI agents to autonomously gather and analyze web data.
The Deep Research API is a product by Parallel that enables AI agents to outperform humans and other AI models in certain research tasks by automating web-based data collection and analysis.
Agrawal was removed from his CEO position following Elon Musk’s acquisition of Twitter in 2022. He and other executives are currently involved in a legal dispute over unpaid severance.
AI agents are autonomous software systems that can perform tasks like browsing, researching, transacting, or problem-solving without human input.
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