
Parallel provides APIs that let AI systems access and use web data to complete high-value tasks. It builds infrastructure across crawling, indexing, ranking, retrieval, and reasoning so models can find and interpret relevant web content. The product is offered as developer-focused APIs for advanced AI applications and agents. Core technologies include web-scale crawling and indexing combined with retrieval and ranking systems integrated into reasoning pipelines. Parallel targets AI builders and enterprises that need reliable web access for model-driven workflows.

Parallel provides APIs that let AI systems access and use web data to complete high-value tasks. It builds infrastructure across crawling, indexing, ranking, retrieval, and reasoning so models can find and interpret relevant web content. The product is offered as developer-focused APIs for advanced AI applications and agents. Core technologies include web-scale crawling and indexing combined with retrieval and ranking systems integrated into reasoning pipelines. Parallel targets AI builders and enterprises that need reliable web access for model-driven workflows.
Product: Web search and deep-research APIs purpose-built for AI agents
Founded: 2023
HQ: Palo Alto, California, United States
Notable funding: $100M Series A (co-led by Kleiner Perkins and Index Ventures)
Compliance: SOC 2 Type II
| Company |
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Enabling AI models and agents to access, interpret, and cite web content for high-value tasks.
2023
Data and Analytics
$100,000,000
Round reported as co-led by Kleiner Perkins and Index Ventures with participation from Spark Capital, Khosla Ventures, First Round Capital, and Terrain
“Backed by multiple prominent venture firms including Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital, and Terrain”
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data.
We are a fully in-person team based in both San Francisco and Palo Alto, CA. Our organization is flat; our team is small and talent dense.
We want to talk to you if you are someone who can bring us closer to living our aspirational values:
Job: Research engineer. You will enhance our core research product to train and scale models that serve a web-scale index. This includes shaping model architecture and training strategy, and working closely with systems and product to push research into production.
You: Have deep intuition for modern models and training. You like arguing how search, recommendations, and transformer-based systems converge. You care about research that ships and runs in production at real scale. You have a strong academic foundation, demonstrated through excellence in a demanding program.
Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.