People Data Labs is a developer-first B2B data platform founded in 2015 by Henry Nevue, Sean Thorne, and Joe Campbell, and headquartered in San Francisco, California. The company has raised $55.5M across 6 funding rounds, including a $45M Series B led by Craft Ventures, with backing from Founders Fund, 8VC, and others. People Data Labs now serves thousands of data science, engineering, and GTM teams across enterprises like Adidas, eBay, and Acxiom, as well as high-growth startups including Zoho, Workable, and Madison Logic. The company is ISO 27001 certified and GDPR- and CCPA-compliant.

The core product is a 1.5B+ person and 3B+ individual record dataset aggregated from public web, licensed sources, and proprietary networks, standardized into a single “source of truth” for B2B enrichment, identity resolution, and predictive modeling. Data is quality-scored using proprietary matching logic that allows customers to configure match strictness and only pay for successful matches. Customers can enrich person profiles using inputs like name, email, phone, location, education, and social profiles; enrich company records; search the full dataset using SQL-like boolean filters; and license full or partial snapshots via bulk export to S3, Snowflake, Databricks, Azure, or GCP. The API is designed for developer velocity: thorough documentation, SDKs in Python, JavaScript, Ruby, Go, and Rust, webhooks, and a real-time API dashboard for monitoring.

Use cases span CRM enrichment, lead generation, candidate enrichment for HR platforms, identity resolution, investment research, fraud prevention, and powering machine learning and AI models. Pricing is credit-based—users pay only for successful matches—with a free tier offering 100 lookups per month, Pro plans starting at $98/month, and enterprise custom pricing. Customers praise the breadth of the dataset, low match cost, comprehensive API documentation, and engineering-focused approach. The company differentiates itself by being a data *source* rather than a reseller, and by designing the platform explicitly for engineers and data scientists building data-driven products.