Startup

Agrawal’s move signals a bold comeback after his Twitter exit under Elon Musk, and positions Parallel Web Systems as a serious player in the race to build the future of AI-driven cloud infrastructure.
Former Twitter CEO Parag Agrawal, who was fired by Elon Musk after his $44 billion takeover of Twitter (now X) in 2022, has launched a new artificial intelligence (AI) startup called Parallel Web Systems Inc.. The company aims to reshape how AI systems conduct large-scale web research by building a new cloud platform optimized for machine intelligence.
Founded in 2023 and headquartered in Palo Alto, California, Parallel has already raised $30 million in funding from leading venture capital firms including Khosla Ventures, First Round Capital, and Index Ventures. Agrawal has built a 25-member AI engineering team, positioning the company at the forefront of the next big shift in cloud computing and AI-powered web intelligence.
In a LinkedIn post, Agrawal revealed, “We already power millions of research tasks daily, across ambitious startups and enterprises. Some of the fastest-growing AI companies use Parallel to integrate web intelligence into their platforms. Our Deep Research API outperforms both humans and advanced models, including GPT-5, on key benchmarks.”
Inside Parallel: Redefining the Internet for AI
Founded in 2023 and headquartered in Palo Alto, California, Parallel has already raised $30 million in funding from leading venture capital firms including Khosla Ventures, First Round Capital, and Index Ventures. Agrawal has built a 25-member AI engineering team, positioning the company at the forefront of the next big shift in cloud computing and AI-powered web intelligence.
In a LinkedIn post, Agrawal revealed, “We already power millions of research tasks daily, across ambitious startups and enterprises. Some of the fastest-growing AI companies use Parallel to integrate web intelligence into their platforms. Our Deep Research API outperforms both humans and advanced models, including GPT-5, on key benchmarks.”
Inside Parallel: Redefining the Internet for AI
Parallel envisions a “Programmatic Web” built for machines instead of humans. Today’s internet is optimized for clicks, ads, and paywalls, but Agrawal argues that the future of the web belongs to AI agents capable of processing massive datasets, automating workflows, and generating insights at scale.
Key principles of Parallel include:
● Unified infrastructure combining data, compute, and reasoning.
● Declarative interfaces that allow AIs to request information directly.
● Transparent attribution giving credit to every data source.
● Open markets rewarding contributors economically, ensuring sustainable openness.
By transforming the internet into an AI-first platform, Parallel wants to solve a critical bottleneck in the AI revolution: access to real-time, machine-optimized web data. With its Deep Research API, the company positions itself as a core enabler of next-generation AI research tools, coding agents, and enterprise automation.
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