Company and employee data

What is Revelio Labs?

Revelio Labs builds workforce intelligence by aggregating public professional profiles, job postings, and employee reviews into a standardized view of the global labor market. Their data sits behind labor analytics at the Federal Reserve, hedge funds, and over 200 universities. On Dewey, the same data is available to academic researchers working on employment, mobility, skills, sentiment, and firm dynamics.

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What academic researchers should know about Revelio Labs workforce data

The Revelio Labs collection on Dewey spans six tables: Company Reference, Workforce Dynamics, Individual Profiles (with linked positions, education, and skills), Individual Job Postings, Sentiment, and Layoffs. Workforce Dynamics is a monthly time series of company headcounts, inflows, outflows, and salaries for roughly 10,000 firms back to 2008, with corrections for the sampling bias and reporting lag inherent to online profile data. The Sentiment table holds 34 million full-text Glassdoor reviews from 2008 onward, the Layoffs table compiles every U.S. WARN notice filed since 1989, and the Job Postings table standardizes and deduplicates listings from LinkedIn and Indeed back to 2016.

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Why academic researchers choose Revelio Labs on Dewey

Linked employer and employee data at this depth has typically lived in tools built for hedge funds and HR tech, not for the way academic projects actually run. Revelio Labs gives researchers monthly workforce signals at the firm level, already cleaned, deduplicated, and corrected for sampling bias, alongside the raw individual records, postings, and reviews that feed them. It pairs well with BrightQuery for private company financials, People Data Labs for complementary professional records, Similarweb for digital footprint, and SafeGraph for location context.

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Revelio Labs academic research ideas and use cases

-Labor mobility and managerial careers. The individual position table covers tens of millions of workers across more than a decade, which lets researchers study transitions at scales that survey data cannot reach. Recent finance work has used the panel to follow managerial career paths into specific roles, including a study of how branch manager experience shapes mortgage origination decisions inside decentralized banks. Adjacent work on employee turnover and firm performance has used the same individual records to test whether observable workforce churn predicts financial outcomes.

Layoffs and workforce restructuring. The WARN table compiles every layoff notice filed in the United States since 1989, capturing the timing, location, and scale of mass layoffs and plant closings before they appear in headline employment statistics. That granularity supports research on the local labor market consequences of plant closures, the financial signaling around layoff announcements, and the role of macroeconomic shocks in workforce restructuring. Pairing the WARN file with Workforce Dynamics gives a clean before-and-after picture of how affected firms rebuild.

Sentiment, culture, and management. With 34 million full text Glassdoor reviews going back to 2008, the Sentiment table is one of the largest corpora available for textual research on workplace culture. Researchers have used it to examine how culture and pay satisfaction relate to firm performance, how DEI rhetoric tracks employee experience, and how management quality varies across industries. Linking review text to the headcount and hiring panels lets researchers tie what employees say about a company to what its workforce actually looks like over time.

Job postings, skills, and the AI labor market. The job postings table standardizes and deduplicates listings from LinkedIn and Indeed back to 2016, with raw posting text alongside structured fields for role, location, and salary. That makes it useful for tracking how skill demand shifts over time, how AI is reshaping job tasks and pay, and how firms compete for narrow talent pools. The Skill table adds a clustered view of worker capabilities, with predicted skills filling the gap left after Glassdoor parent platforms stopped surfacing them on user profiles.

Macro labor research and BLS alternatives. Researchers studying aggregate employment, hiring, and separations are increasingly comparing official BLS series with employment series built from platform data. Revelio Labs covers an estimated 85% of employed individuals in the United States and publishes monthly headcount, inflow, and outflow series at the firm level back to 2008, which makes it a useful complement to BLS data when granularity, lag, or coverage matter.

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Dive deeper with Dewey documentation

Detailed information on onboarding with Dewey, data partner details, and technical documentation on data access.

View documentation

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