Olostep launches today to the public. What started as an idea in Italy has now grown into a San Francisco–based startup. Founded by Hamza and Arslan, a Computer Science student at Stanford University, Olostep is on a mission to reshape how AI interacts with the web.

At its core, Olostep is building the Web Data API for AI. Its powerful API allows AI startups and enterprises to access websites and extract clean, structured data in the format they prefer—HTML, Markdown, plain text, raw PDF, or structured JSON.

The company is working with some of the fastest-growing AI startups in the Bay Area and New York, including Openmart, Gumloop, Podqi, and Profound. The customer base ranges from seed-stage innovators to Series E scaleups backed by top-tier venture firms such as Sequoia, Y Combinator, Afore, and General Catalyst.

With its focus on reliability and affordability, Olostep offers one of the world’s most cost-effective and reliable web scraping API. Beyond data extraction, Olostep allows companies to build custom research agents and AI automations, streamlining workflows that rely on the web.

The vision of the Pakistani-origin founders is simple: Olostep aims to be for AI what browsers are for humans—a universal way to access, navigate, and interact with the web. Just as browsers unlocked the internet for people, Olostep wants to unlock it for AI systems.

Olostep, which completed a funding round from VCs, launched publicly today after a period of private beta testing with select clients. The company is also hiring

To learn more or get started visit olostep.com or contact [email protected]