Parallel: Building the infrastructure for AI

The web was built by humans, for humans. Browsers, HTML, and search engines were optimized for humans to click, scroll, and read. Then came large language models, and for a moment, the consensus was that AI would make the web obsolete. Why would machines need to browse when they had already read the Internet?

But the opposite has become true. Intelligent agents need the web more than ever. Not the human web of rendered pages and visual interfaces, but a structured, living corpus of knowledge that reflects the present. The web is humanity’s short-term memory. It’s what lets intelligence act in real time. Without it, AIs can only experience the past.

As the primary user of the web shifts, the underlying infrastructure starts to break. Rate limits designed for spam prevention block real AI workflows. HTML wastes compute. Search engines prioritize engagement over accuracy. The web, as it exists today, isn’t built for AI. Early on, the Parallel team saw a future where the web needed to evolve, and where the next layer of infrastructure would be built not for clicks, but for reasoning.

This marks the dawn of a new paradigm: the web for agents. Just as the first web was built to connect people to information, the next web will connect intelligent agents to knowledge, enabling them to reason, plan, and act on behalf of humans. It’s not just a technological evolution, but a structural shift in how information flows through the world. As agents become the dominant users of the web, the infrastructure that powers them must be rebuilt from first principles.

In many ways, this moment echoes the past. When Kleiner Perkins first backed Google in 1999 at the Series A, the web was still young, fragmented, unindexed, and full of possibility. We’re sitting at a similar inflection point today. The Parallel team is doing for the AI era what the search pioneers did for the human web: building the connective tissue that makes an entirely new digital ecosystem possible.

And just as the original web unlocked new industries and ways of working, the opportunity in front of us is even larger. If the first web was for billions of people, the next one is for trillions of agents. Each will need to search, access, and reason across data at a scale humans never could. The AI web will not only expand what’s possible, it will multiply the productivity and reach of every intelligent system.

Parallel’s mission is to keep the web open, transparent, and competitive as it transitions to its next user. Their belief is that openness is not just a moral stance, it’s an architectural necessity. Without access to the living web, AIs lose their most important ingredient: context.

We’ve known Parag since his time leading Twitter, and when we re-connected with him and the early Parallel team, it was clear they were rethinking the entire stack from first principles. They understood that “search for AI” is not about ranking pages for humans to click, but finding the optimal context from the web to help an agent reason.

In building their platform, they created the first web search API built natively for agents: one that retrieves, organizes, and contextualizes information the way models actually use it. They already power critical workflows at Clay, Sourcegraph, Replit, Attio, Starbridge, and leading Fortune 100 companies. Across these systems, one principle holds true: quality compounds. The better the web context, the more reliable the reasoning, and the lower the hallucination rate.

The team at Parallel has built the infrastructure, systems, and markets that powered the human web. Now, they’re building for the web’s second user, the intelligent agents that will define the next decade of web search.

Their conviction is as technical as it is philosophical: that the web must remain an open system, one that enables every intelligent entity (human or machine) to learn, reason, and build on what came before. At Kleiner Perkins, we share that conviction, and we’re proud to co-lead Parallel’s Series A and partner with the team as they build the web for AI.

— Mamoon & Lucas