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Parallel Web Systems emerges from stealth. The mission stunned Silicon Valley: "We're building infrastructure for the web's second user: AI agents." Not chatbots. Not language models. Something nobody had attempted:

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Fernando Cao

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389,468 просмотров • 10 месяцев назад •via X (Twitter)

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Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.
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Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

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Everyone's spinning up 50 agents in parallel. The engineer who built Droid Missions told me the opposite: if you can't produce something large and correct with one, adding more just makes it worse. Parallelization is for gathering live info, not building systems.
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Everyone's spinning up 50 agents in parallel. The engineer who built Droid Missions told me the opposite: if you can't produce something large and correct with one, adding more just makes it worse. Parallelization is for gathering live info, not building systems.

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Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️
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Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️

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