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Parallel Web Systems hits $2B valuation five months after its last big raise | TechCrunch
Parallel Web Systems, the AI agent-tool startup founded by former Twitter CEO Parag Agrawal, has raised a $100 million Series B at a $2 billion valuation led by Sequoia. Existing investors Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital, and Terrain Capital also
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Parag Agrawal's startup raises $100M to build a parallel web for AI agents - SiliconANGLE
Parag Agrawal's startup raises $100M to build a parallel web for AI agents Former Twitter Inc. Chief Executive Parag Agrawal has raised $100 million to fund his new startup Parallel Web Systems Inc., which is focused on enabling artificial intelligence agents to search the web more
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Former Twitter CEO Parag Agrawal's Parallel Web Systems has raised $100 million: WSJ - The Economic Times
Parallel Web Systems, founded by former Twitter CEO Parag Agrawal, has secured $100 million in a Series B funding round led by Sequoia Capital, boosting its valuation to $2 billion.Parallel Web Systems, a California-headquartered startup founded by former Twitter CEO Parag Agrawal has raised $100
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Former Twitter CEO Parag Agrawal's Parallel Web Systems secured $100 million in Series B funding led by Sequoia Capital, pushing its valuation to $2 billion. The AI agent-tool startup builds specialized APIs that enable autonomous AI agents to search and extract web information more efficiently than traditional methods, serving over 100,000 developers.
Parallel Web Systems, the AI agent-tool startup founded by former Twitter CEO Parag Agrawal, has raised $100 million in Series B funding at a $2 billion valuation, led by Sequoia Capital
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. Existing investors Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital, and Terrain Capital also participated in the round1
. This latest funding comes just five months after the startup announced its $100 million Series A at a $740 million valuation, bringing total capital raised to $230 million1
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Source: ET
Parallel Web Systems offers a suite of web search and research APIs specifically designed for AI agents that perform work autonomously on behalf of humans
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. The programmatic web infrastructure is built on specialized APIs for searching the internet, performing tasks online, extracting information from websites, and monitoring the web2
. These APIs utilize a proprietary web index optimized for "machine retrieval," enabling agents to conduct "deep research" tasks such as insurance claims processing, sorting through government contracts, investment analysis, and legal data review2
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Source: SiliconANGLE
Since launching in early 2024, Parallel has amassed over 100,000 developers using its products, including customers from AI-native startups and large enterprises
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. Named customers include Clay, Harvey, Notion, and OpenDoor, with additional clients from banks and hedge funds1
. Harvey AI co-founder and President Gabe Pereyra explained that agents require more granular control over which websites they access beyond simple Google Search capabilities, which is precisely what Parallel provides2
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Parag Agrawal believes that AI agents will ultimately "use the web a lot more than humans" and require different infrastructure to access it properly
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. The startup plans to use the funding to establish a sales and marketing team and accelerate research and development initiatives2
. Sequoia partner Andrew Reed, who joined Parallel's board as part of the deal, emphasized that the startup provides core infrastructure needed to support "long-running" AI agents that operate continuously in the background and maintain context for extended periods2
. While Parallel faces competition from rivals including Tavily Inc. and Exa Labs Inc., the rapid valuation increase signals strong investor confidence in Agrawal's vision for enabling autonomous agents to navigate the web efficiently2
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