Revelio Labs provides workforce intelligence. We absorb and standardize hundreds of millions of public employment records to create the world’s first universal HR database, allowing us to see current and historical workforce composition and trends of any company. Our customers include investors, corporate strategists, HR teams, academics, and governments.
We provide data on headcounts, inflows and outflows at a very granular definition of worker characteristics, such as occupation, location, seniority, education level, gender and ethnicity. We also provide data on job postings, employee sentiment and lay-off notices. There are two main issues we see in the publicly reported data: inconsistency in job titles and representativeness of data. We correct for these issues with our job taxonomy and cross-sectional scaling model.
Revelio Labs collects unstructured online public profiles, resumes and job postings, and curates and structures this data through the use of proprietary algorithms. Our delivery files provide data on employee characteristics, movement and salary, and can be analyzed by positions, skills, geographies and seniority levels over time. This documentation describes various data specifications of Revelio Labs products.
Workforce Dynamics: Includes counts, inflows, outflows, salaries for the entire workforce of any company, segmented by various employee characteristics (occupation, seniority, geography, demographics, skills, etc). The coverage is global, history begins in 2008, and the frequency of update is monthly.
Transitions: Includes the previous and new roles, location, seniority, and salary of individuals leaving (or joining) any company or changing roles within a company. The coverage is global, history begins in 2008, and the frequency of updates is monthly.
Job postings: Includes active postings, new postings, removed postings, salaries, and full text of postings for any company, segmented by various employee characteristics (occupation, seniority, geography, keywords, skills, etc). Our postings data comes from two sources: Linkedln postings and, for an additional cost, company websites. The coverage of both sources is global. History begins in 2008 for company website postings, and it begins in August 2021 for Linkedin postings. The frequency of update is weekly.
Sentiment data: Includes employee reviews for all companies, with the full text of each review, split into positive and negative text, segmented by various employee characteristics (occupation, seniority, geography). The coverage is global, history begins in 2009, and the frequency of update is monthly but can feasibly be moved to weekly.
Layoff notices: Includes post data and effective date for all layoffs in every company in the US, segmented by geography. The coverage is just US, history differs by state and can begin any time from 2008 to 2020 (most states have long history), and the frequency of update is monthly.
Daily Scans: Includes counts, reported inflows, reported outflows, scans, for all employees in any company, segmented by various employee characteristics (occupation, seniority, geography, demographics, skills, etc). The coverage is global, history begins only a few months ago, and the frequency of update is daily.