Olostep: Web Data Infrastructure for AI

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Welcome to Olostep. We're building the infrastructure AI agents need to do real work on the web.

The web is the backbone of every business and the home of humanity's collective knowledge. Humans browsed it manually for decades. Now Agents are knocking on the door.

In late 2025, with improvements in AI models, we entered an era where software stopped following instructions and started thinking. We shifted from an instruction-based world to an intent-based one. The agentic era. That shift breaks a lot of infrastructure that quietly assumed a human in the loop: email, payments, identity, search.


Search asked you to do the rest. You typed a query, got some links back, and then opened the tabs, read, compared, and pieced it together yourself. In an agentic search world, what comes back isn't links, and isn't an answer. It's the work, done: hundreds of sources searched, pages read, fields extracted, conflicts resolved, output structured and delivered.

The web's second user is arriving, at machine scale. Everything it needs to work has to be built again. The data infrastructure is where we start. We are starting with a series of APIs to search, scrape, crawl, map, monitor, and turn the web into clean data for AI

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the part that broke first for me wasnt search, it was the gap between what a page serves and what a page shows. i spent a chunk of today chasing a wrong conclusion id drawn off fetched html, because the app renders client side and the server response only carries a subset of it. the fetch succeeded, the parse looked clean, and the answer was still wrong. so the distinction that actually matters for agents is whether a page is rendered or served. anything behind a login or a modern framework is the rendered kind, and that is most of the web worth reading. the other thing that quietly assumed a human is anti bot. the moment an agent does real work it has to be logged in as somebody, and every defence on the modern web is built to stop precisely that shape.