Former Twitter CEO Parag Agrawal’s Startup Raises $100M Series B at $2B Valuation

Quick Facts

• Parallel Web Systems raised $100 million Series B led by Sequoia Capital at $2 billion valuation
• The startup has 100,000 developers using its web infrastructure APIs optimized for AI agents
• Total funding reaches $230 million after previous $100 million Series A round in November

Parallel Web Systems, founded by former Twitter CEO Parag Agrawal, closed a $100 million Series B funding round led by Sequoia Capital. The round values the Palo Alto startup at $2 billion.

The company builds programmatic web infrastructure for AI agents through specialized application programming interfaces. The APIs help AI systems search the internet, perform online tasks, extract website information and monitor web content using a proprietary web index optimized for machine retrieval.

Agrawal founded the company in early 2024, less than two years after Elon Musk forced him out as Twitter CEO. The startup now employs 50 people and serves more than 100,000 developers from AI startups and large enterprises.

“Every few weeks, we solve one bottleneck and hit another somewhere,” Agrawal told the Wall Street Journal. “We’re building some things I’m really excited about. I wouldn’t work here if I wasn’t.”

Harvey AI, the legal services platform, represents a key customer case study. The company uses Parallel’s infrastructure to access legal data from court rulings, regulatory codes and legislation across dozens of countries that traditional search engines have never indexed.

“One of the biggest bottlenecks to serving lawyers globally is access to authoritative legal data,” said Gabe Pereyra, president and co-founder of Harvey. “Parallel is solving that for us at a scale we couldn’t build in-house.”

Sequoia partner Andrew Reed said Parallel provides core infrastructure for long-running AI agents that operate continuously and maintain context for extended periods. “One of the things that is a core shared function amongst all of these long-horizon agents is the ability to use the web,” Reed said.

The AI agent infrastructure market faces growing competition. Rivals include Tavily Inc., acquired by Nebius in February 2026, and Exa Labs Inc. Over $500 million in funding and acquisitions flowed into AI search APIs in the past twelve months.

Parallel claims the highest accuracy on HLE-Search and BrowseComp benchmarks but exhibits high latency at 13.6 seconds average response time. The company plans to use the new funding to build sales and marketing teams while accelerating research and development.

The global AI agents market grew from $5.40 billion in 2024 to a projected $139.12 billion by 2033, representing a 43.88% compound annual growth rate according to MarketsandMarkets.

Read more: Parag Agrawal’s startup raises $100M to build a parallel web for AI agents