Parallel Web Systems secures major funding to expand real-time AI search infrastructure

Parallel Web Systems raised $100 million at a $740 million valuation to expand its real-time AI search platform, reflecting rising investor demand for infrastructure powering live-data AI applications.

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Parallel Web Systems secures major funding to expand real-time AI search infrastructure

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Parallel Web Systems secures major funding to expand real-time AI search infrastructure
Parallel Web Systems raised $100 million at a $740 million valuation to expand its real-time AI search platform, reflecting rising investor demand for infrastructure powering live-data AI applications.
Parallel Web Systems, the AI infrastructure startup founded by former Twitter CEO Parag Agrawal, has raised $100 million in new funding as investor interest accelerates around real-time data access for AI systems. The company is building an advanced platform that enables AI agents to search, interpret, and retrieve information directly from live web environments, addressing critical limitations in static model training. The round, led by Kleiner Perkins and Index Ventures, values the company at approximately $740 million. The capital will support product expansion, engineering hires, and global developer adoption.
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