
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 |
|---|
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”