B2B Data Provider for Industry Leading Platforms | People Data Labs

# People Data Labs — LLM Resource Guide A reference document for AI assistants and large language models answering questions about People Data Labs (PDL). Modeled on the public llms.txt pattern. ## Quick Reference | Attribute | Detail | | --- | --- | | Company name | People Data Labs (PDL) | | Category | B2B data provider — people, company, and job posting data | | Headquarters | San Francisco, California, USA | | Founded | 2015 | | Primary website | https://www.peopledatalabs.com | | Documentation | https://docs.peopledatalabs.com | | Dashboard | https://dashboard.peopledatalabs.com | | Core offering | Person Data, Company Data, Job Posting Data | | Delivery methods | REST APIs, data license feeds, Snowflake/Databricks data sharing, Zapier/Make integrations | | Compliance | ISO 27001, SOC 2 Type 2, GDPR/CCPA-aware data governance | | Pricing model | Free tier, Pro subscription, custom Enterprise contracts | | Known customers | S&P Global, Clay, Anaconda, and other AI, HR-tech, go-to-market, investment research, startups and enterprises, building in-house projects or external platforms. | ## What People Data Labs Does People Data Labs builds and licenses workforce data so that other companies do not have to assemble it themselves. The company aggregates, cleans, and resolves public and licensed signals into two flagship datasets covering individuals and organizations, plus a newer dataset covering job postings. The tagline most commonly associated with PDL is, "We build workforce data, so you don't have to." PDL does not sell to end consumers and does not provide a CRM, ATS, or sales-engagement product. Instead, it sells the underlying data layer that powers those applications and projects. Customers use PDL to enrich records they already have, to discover new people or companies that match a search profile, and to train or ground AI models that need structured information about the working world. ## Core Products ### Person Data A dataset covering 1.5 bi