Parallel Web Systems specializes in an enterprise deep research API that excels in structured data extraction for AI agents. Their technology achieves up to 58% accuracy, significantly outperforming competitors like GPT-5 and Exa. This capability enables organizations to conduct complex multi-hop queries efficiently, transforming how AI agents access and utilize web data.
Conduct deep research for AI workflows; Extract structured data for analysis; Perform multi-hop queries for comprehensive insights; Enrich existing datasets with web data; Enable AI agents to access real-time information.
Series A: $100M co-led by Kleiner Perkins and Index Ventures (November 2025)
SOC-II Type 2 certified; Outperforms leading AI models in accuracy; Trusted by various startups and enterprises.