Our Data

Overview

We maintain the most dynamic and current view of the U.S. professional workforce—tracking over 95 million verified professionals and checking in on each profile every 10 to 14 days.

Where does the data come from?

Unlike legacy datasets built on outdated resumes or scraped directories, we source our data from the open web using a proprietary mix of search engine prompt engineering, public signal extraction, and lightweight scraping that keeps the data both reliable and compliant.

We’re particularly strong in sectors with high online visibility—tech, finance, healthcare, media, and business services—where job changes are publicly documented and professional footprints are well maintained. Our visibility is lighter in industries where digital signals are weaker, like agriculture, field services, some professional services (doctors, lawyers), or certain segments of manufacturing. But even in those sectors, we’re improving quickly as we expand our reach and diversify our sourcing models.

How is the data used?

At our core, we detect job changes in near real time—flagging when someone moves, how long they stayed, and what that means for hiring, retention, or growth forecasting. Our clients use this signal to recruit talent, monitor staffing trends, identify churn, or gain visibility into how companies are staffed, department by department. It’s workforce AI built for precision, speed, and scale—grounded in real-world movement.

Why doesn't your data match LinkedIn company sizes?

In addition to the sector variability mentioned above, our data also does not match LinkedIn because on LinkedIn there are many fake profiles or malicious profiles self-associated with companies even though they don't work there. Our technology is able to discern the signal from the noise and as such our numbers rarely "match" what LinkedIn says.