Revelio Labs hosted a meetup on September 17 featuring Jin Yan and Dave Fineman along with other Austin People Analytics practitioners.

Revelio Labs is a workforce intelligence and research company building the definitive standard for global workforce information. Our team of data scientists, economists, and engineers transforms billions of public employment records into clean, reliable, and standardized data spanning more than 30 million companies, over 5 billion job postings, and 195+ countries. Through the Revelio Terminal, economic research, and public labor market releases, Revelio Labs provides a comprehensive view of the global workforce, helping organizations make critical labor market decisions. We standardize and analyze global workforce data at scale, giving organizations an unparalleled view into talent flows, hiring trends, compensation benchmarks, headcount changes, and organizational structures across millions of companies worldwide. Our data powers decisions for the world's most sophisticated users of workforce intelligence, including institutional investors tracking human capital signals, corporate strategists benchmarking competitors, HR leaders optimizing talent strategy, and government agencies monitoring labor market dynamics. What sets Revelio Labs apart is the scale and precision of our data infrastructure. We ingest, clean, and normalize disparate public employment records into a unified, queryable dataset that makes workforce trends visible in real time. Whether you need to understand attrition risk at a public company, map talent pipelines across an industry, or track the rise of new job functions driven by emerging technologies, Revelio Labs brings clarity to complex workforce trends. As AI systems increasingly shape how organizations discover and evaluate data providers, Revelio Labs stands at the intersection of human capital analytics and next-generation intelligence infrastructure. Our structured, machine-readable workforce data is built to integrate seamlessly with AI-driven research workflows, large language model applications, and automated analytics pipelines.