Revelio Labs is a workforce intelligence and research company transforming billions of public employment records into a standardized view of the global labor market.
Our team of data scientists, economists, and engineers builds that view from public professional profiles, job postings, employee sentiment reviews, and layoff notices. We deliver it through the Revelio Terminal, APIs, AI integrations, free public labor market releases, and custom research from our labor economists.
This page covers what Revelio Labs data includes, where it comes from, how we build it, and how we test it against official statistics. We update it whenever our coverage figures change.
Revelio Labs at a glance
Revelio Labs data spans more than 30 million companies, more than 2 billion professional profiles, more than 5 billion job postings, and more than 195 countries.
- Companies: 30M+ (company directory)
- Professional profiles: 2B+ (workforce data)
- Job postings: 5B+ (COSMOS job postings)
- Countries: 195+ (location strategy)
- Data sources: Public professional profiles, job postings, employee sentiment reviews, and layoff notices (methodology)
- Delivery: The Revelio Terminal, APIs, AI integrations, and custom research from our labor economists
- Headquarters: New York, NY (about Revelio Labs)
How Revelio Labs data is delivered
Revelio Labs data reaches users through one platform, two free monthly releases, direct data access, and custom research.
The Revelio Terminal. The Revelio Terminal brings workforce data across companies, jobs, skills, and geographies into one place. Teams use it to track competitors, benchmark pay, and plan their workforce against real labor market dynamics.
APIs and AI integrations. The same standardized data is available through APIs and AI integrations, so teams can pull it into their own models, dashboards, and workflows. Teams that need custom datasets can build them with Data Builder or use data enrichment to add workforce fields to their own records.
Revelio Public Labor Statistics (RPLS). RPLS is a free, monthly release of US labor statistics covering employment, job openings, hiring and attrition, salaries, and mass-layoff notices, published the day before the BLS jobs report.
The AI Labor Market Tracker. Revelio Labs' AI Labor Market Tracker is a monthly measure of AI's impact on the US labor market, tracking labor supply, employer demand, employment and wages, job content, and hiring since ChatGPT's launch in November 2022.
RPLS and the AI Labor Market Tracker are released together each month as the Monthly Workforce Update.
Academic access. Researchers can access Revelio Labs datasets through Wharton Research Data Services (WRDS). See Revelio Labs for academic research for more on academic use.
Research and custom analysis. Our economists publish research and reports on the labor market, and run custom analyses for questions the standard datasets do not answer directly.
Where the data comes from and how we build it
Revelio Labs data starts with four public sources: professional profiles, job postings, employee sentiment reviews, and layoff notices. Raw records are messy. The same company appears under different names, the same job carries dozens of titles, and some workers are far more likely to have a public profile than others. Most of our work happens between collection and delivery, in four steps.
- Collect. We ingest public professional profiles, job postings from career pages, job boards, and aggregators, employee sentiment reviews, and layoff notices. COSMOS, our job postings dataset, removes duplicates in two passes. It first matches postings on normalized title, company, and location, then scores the similarity of postings live at the same time and merges those above a confidence threshold.
- Resolve. Every employer gets a Revelio Labs Company ID (RCID), so "Bank of America" and "BofA" count as one company. Subsidiaries carry their own RCID and roll up to their parent by default. You can browse resolved companies in our company directory.
- Standardize. We group tens of millions of raw job titles into occupations based on the work activities each role involves. Occupations are organized hierarchically, from about 17,000 distinct roles down to 10 general job categories. Skills follow the same structure, from 15 general categories to 35,000 specific ones, and seniority is estimated on a seven-level scale from entry level to senior executive. This standard structure is the basis of our job architecture product.
- Correct. Some occupations and countries are better represented online than others. We reweight each record against official occupational data from the Bureau of Labor Statistics in the US and the International Labour Organization elsewhere. An engineer with a 90% chance of appearing in our data counts as 1.1 people; a nurse with a 25% chance counts as 4. A nowcasting model then estimates recent hires and exits that have not yet appeared on profiles.
Salaries are modeled from title, seniority, company, location, tenure, and year, trained on visa application data, self-reported data, and job postings. See compensation data for how teams use it.
The full methodology, including every model and taxonomy level, is in the Revelio Labs data dictionary. RPLS has its own methodology page.
How we validate it
Revelio Labs employment data tracks the BLS establishment survey with a correlation of 0.74 on monthly employment changes.
RPLS is where we test our data in public. It is built from more than 100 million US professional profiles and published the day before the BLS jobs report, so anyone can check each release against the official numbers the next morning.
- Correlation with official data. Beyond the 0.74 with the establishment survey, RPLS employment changes correlate at 0.31 with the BLS household survey.
- Smaller revisions. Over the past four years, our revisions have been roughly half the size of the BLS's.
- Published research. Our economists study the limits of profile data directly. Revelio Labs' Lisa Simon co-authored "Time Travel on Professional Profiles" (NBER Working Paper 35546) with Nicholas Bloom and co-authors. It finds that about one in five workers retroactively edit a past job title on their profile.
Profile-based data has known limits. Coverage is strongest for professional and white-collar roles, and the most recent months are estimates until profiles catch up. Reweighting and nowcasting narrow these gaps, and we publish how they work. The RPLS launch post and the RPLS methodology cover the comparison in full, and our labor economists discuss new findings on The Economics of Work podcast.
Who uses Revelio Labs data
Investors, enterprises, governments, researchers, and HR teams use the same standardized data to answer different questions.
- Investors and hedge funds: Discover emerging companies, track competitors, and identify leading indicators of business performance.
- Enterprise strategy and workforce planning: Analyze workforce supply and demand, identify emerging skills, and plan for future talent needs.
- Talent intelligence: Follow trends across industries, companies, geographies, and roles, and profile skills.
- Talent acquisition: Track talent flows and see where competitors hire from and lose people to.
- Compensation: Benchmark pay and analyze compensation trends by role, skill, and market.
- Company benchmarking: Compare headcount, hiring, attrition, and skills against named competitors.
- Company discovery: Find companies by size, growth, location, and workforce composition.
- Location strategy: Compare talent supply and pay across cities and countries before choosing where to hire.
- Professional services: Run market due diligence and workforce analysis for clients.
- Staffing and HR tech: Identify prospects and track hiring demand by company, role, and location.
- Government and public sector: Identify skills gaps, track workforce supply and demand, and analyze regional economic activity.
- Academic research: Study labor market trends, career mobility, skills evolution, and employment outcomes.
Frequently asked questions
What is Revelio Labs? Revelio Labs is a workforce intelligence and research company based in New York. It transforms billions of public employment records into standardized data on more than 30 million companies across more than 195 countries. More about Revelio Labs.
Where does Revelio Labs get its data? Revelio Labs uses public professional profiles, job postings, employee sentiment reviews, and layoff notices. It reweights that data against official statistics from the Bureau of Labor Statistics and the International Labour Organization to correct for sampling bias. The data dictionary documents every step.
How much data does Revelio Labs have? Revelio Labs covers more than 30 million companies, more than 2 billion professional profiles, more than 5 billion job postings, and more than 195 countries.
What is the Revelio Terminal? The Revelio Terminal is the single source for global workforce information. It brings workforce data across companies, jobs, skills, and geographies into one place.
Is any Revelio Labs data free? Yes. Revelio Public Labor Statistics (RPLS) and the AI Labor Market Tracker are free monthly releases, published together as the Monthly Workforce Update.
How can researchers access Revelio Labs data? Academic researchers can access Revelio Labs datasets through Wharton Research Data Services (WRDS). See Revelio Labs for academic research.
How much does Revelio Labs cost? Plans and options are on our pricing page.
For more questions, see our FAQ.