We are building the research agents of the future.

The web is alive. Documents, filings, APIs, and signals change every day. A frozen dataset is blind to the shifting edge of reality.

Scraping helps, but most pipelines still need brittle scripts and manual engineering overhead. They break when the structure shifts. They miss the nuance in context, updates, and connections across sources.

The next generation will not be static datasets. The next generation will not be manual crawlers.

It will be agents scouring the internet for near real-time updates on the data you care about.

Agents that can search, parse, extract, and link across evolving sources. Agents that adapt when schemas change. Agents that turn the open web into structured memory, in real time.

The closer the loop is between signal and structure, the less the human guesses.

When you have adaptive retrieval, you get systems that build knowledge automatically. Systems that find, filter, and frame the data that matters.

That is how the web becomes machine‑readable & actionable

At scale.