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Ex-Twitter CEO’s Parallel bags $100M to reinvent web access for AI agents

AI startup Parallel Web Systems, founded by former Twitter CEO Parag Agrawal, has secured $100 million in Series A funding to build the next layer of internet infrastructure. The round, co-led by Kleiner Perkins and Index Ventures, values the company at $740 million, with continued support from Khosla Ventures and other existing investors.

With the new funding, Parallel will accelerate product development, expand its search and data infrastructure, and scale its customer base. The company, founded in 2023 and publicly launched in August 2025, previously raised $30 million in early 2024.

From  human browsing to AI-driven web use 

Parallel Web Systems is designed not for human users, but for AI agents. Instead of ranking search results for humans to click, Parallel creates APIs that let AI agents search the live web, retrieve updated information, and operate with higher accuracy.

Its enterprise customers already use these tools to write software, analyse sales data, and assess insurance risk. In each case, the AI relies on a blend of company data and fresh web information, which is something traditional search engines weren’t designed to deliver.

Unlike consumer search engines, Parallel returns optimised content “tokens” directly into an AI model’s context window. This format reduces errors, lowers processing costs, and ensures that results are immediately usable by software, not humans.

Building new economic models for the web’s future

A key challenge Parallel aims to address is the rising wall of paywalled or login-protected content, as publishers and platforms react to widespread AI scraping. Agrawal argues that without a new way to compensate content owners, the web risks becoming inaccessible to the very AI systems that increasingly depend on it.

Parallel plans to build an “open market mechanism”, a framework that rewards publishers for keeping content accessible to AI agents. Though still in development, the idea signals a shift toward a more formalised data economy, where web access becomes structured and mutually beneficial.

Parallel is betting that the next era of the internet needs new infrastructure and it wants to power that shift.

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