Parallel Web Valued at $740 Million With $100 Million Series A

<p><strong>PALO ALTO<&sol;strong> &&num;8212&semi; Parallel Web Systems has raised &dollar;100 million in Series A funding at a &dollar;740 million valuation to build the web for its second user&colon; AIs&period; The round was co-led by Kleiner Perkins and Index Ventures&comma; with participation from Spark Capital and support from existing investors Khosla Ventures&comma; First Round Capital&comma; and Terrain&period; Mamoon Hamid of Kleiner Perkins joins Vinod Khosla&comma; Shardul Shah and Josh Kopelman on the board&period;<&sol;p>&NewLine;<p>Parallel Web was founded by Parag Agrawal&comma; who was the former CEO and CTO of Twitter before Elon Musk purchased the company and renamed it X&period;<&sol;p>&NewLine;<p>The company says it offers two types of products&colon;<&sol;p>&NewLine;<ul>&NewLine;<li><strong class&equals;"font-medium machine&colon;font-normal">Web Tools<&sol;strong> built as primitives for <a class&equals;"machine&colon;hidden" href&equals;"https&colon;&sol;&sol;parallel&period;ai&sol;blog&sol;introducing-parallel-search" target&equals;"&lowbar;blank" rel&equals;"noopener noreferrer">search<&sol;a>&comma; <a class&equals;"machine&colon;hidden" href&equals;"https&colon;&sol;&sol;docs&period;parallel&period;ai&sol;extract&sol;extract-quickstart" target&equals;"&lowbar;blank" rel&equals;"noopener noreferrer">extraction<&sol;a>&comma; and retrieval for agents to use&period;<&sol;li>&NewLine;<li><strong class&equals;"font-medium machine&colon;font-normal">Web Agents <&sol;strong>built for <a class&equals;"machine&colon;hidden" href&equals;"https&colon;&sol;&sol;parallel&period;ai&sol;blog&sol;parallel-task-api" target&equals;"&lowbar;blank" rel&equals;"noopener noreferrer">structured enrichment<&sol;a>&comma; <a class&equals;"machine&colon;hidden" href&equals;"https&colon;&sol;&sol;parallel&period;ai&sol;blog&sol;deep-research-benchmarks" target&equals;"&lowbar;blank" rel&equals;"noopener noreferrer">deep research<&sol;a>&comma; and <a class&equals;"machine&colon;hidden" href&equals;"https&colon;&sol;&sol;parallel&period;ai&sol;blog&sol;case-study-gumloop" target&equals;"&lowbar;blank" rel&equals;"noopener noreferrer">workflow automation<&sol;a>&period;<&sol;li>&NewLine;<&sol;ul>&NewLine;<p><a class&equals;"machine&colon;hidden" href&equals;"https&colon;&sol;&sol;parallel&period;ai&sol;products&sol;search" target&equals;"&lowbar;blank" rel&equals;"noopener noreferrer">Search<&sol;a> for agents differs fundamentally from search for humans&period; Instead of just keyword queries&comma; AIs can ask declarative queries&period; Instead of ranking URLs that humans might click&comma; we&&num;8217&semi;re identifying the optimal tokens from the web to place in an agent&&num;8217&semi;s context window&period; Instead of being limited to a few hundred milliseconds and a limited amount of compute&comma; we can choose to flexibly allocate computation and time in order to improve outputs&period;<&sol;p>&NewLine;<p>Parallel Web has built the only web APIs that are optimized to be used as tools within AI agents&comma; and they are used at scale including by its own search agents&period; Building this product is only possible through innovations across crawling&comma; indexing&comma; retrieval and ranking &&num;8211&semi; each purpose-built for AIs as the primary user&period;<&sol;p>&NewLine;