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Parag Agrawal's Startup Parallel Web Systems Secures $100M in Funding

Parag Agrawal's Startup Parallel Web Systems Secures $100M in Funding

Post by : Badri Ariffin

Parag Agrawal, the former Twitter CEO, has successfully raised $100 million in Series A funding for his startup, Parallel Web Systems. This latest investment values the company at an impressive $740 million and was co-led by Kleiner Perkins and Index Ventures, with additional support from Khosla Ventures and other early investors.

Launched two years ago, Parallel is developing infrastructure for AI agents that enables them to source real-time, precise information from the internet. The company introduced its initial products in August 2025, following a prior funding round that garnered $30 million in early 2024.

Agrawal emphasizes that Parallel is at the forefront of a transformative shift in how users interact with the internet, transitioning from human-led searches to AI-driven automation. Their APIs facilitate AI systems in gathering current web data for various applications, including coding, customer analysis, and risk evaluation in finance.

Distinct from conventional search engines that provide users with clickable links, Parallel’s innovative approach offers “optimized tokens”—data segments tailored for direct use within an AI model’s context. Agrawal asserts this method reduces inaccuracies, enhances performance, and cuts costs for clients.

The new funding will propel Parallel’s product development and broaden its focus on attracting enterprise clients, aiming to enhance web accessibility for AI. As more websites restrict content behind paywalls or require logins to deter web scraping, Parallel is investigating an open market strategy to motivate publishers to keep their content available for AI.

Agrawal envisions a future where the web is navigated by intelligent agents that depend on high-quality, current information, positioning Parallel as the key facilitator for this evolution.

Nov. 13, 2025 10:22 a.m. 143

#Tech News #AI #Technology

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