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§ Private Profile · 455 Market St Ste 1670, San Francisco, California, 94105, United States
People Data Labs is a technology company.
People Data Labs specializes in building and providing comprehensive B2B data solutions, encompassing person, company, and job posting information. The company aggregates, standardizes, and refreshes vast datasets, offering them through robust APIs, direct data license feeds, and integrations with platforms like Snowflake and Databricks. This technical approach allows clients to enrich existing data, power applications, and make informed decisions with high-quality, compliant workforce data.
Founded in 2015 by Sean Thorne and Joe Joseph Campbell, with Ben Eisenberg recognized as a third integral figure, People Data Labs emerged from an understanding of the critical need for accessible, reliable, and compliant data in the business world. The founders aimed to alleviate the burden on companies of building and maintaining proprietary workforce data, instead offering a scalable and standardized solution.
The company primarily serves professionals in HR Tech, Sales & Marketing, and Investment Research, enabling them to enhance lead generation, identify high-priority accounts, and gain deeper organizational insights. People Data Labs’ long-term vision centers on empowering businesses to build innovative, data-driven products and strategies by providing the foundational data infrastructure necessary for advanced analytical and operational workflows.
People Data Labs has raised $54.8M across 4 funding rounds.
People Data Labs has raised $54.8M in total across 4 funding rounds.
People Data Labs (PDL) is a B2B data provider specializing in compliant person and company datasets, offering access to over 2 billion person profiles and 70+ million company profiles through APIs, data feeds, and integrations like Snowflake and Databricks.[1][2][3] It serves enterprises building data-driven products, such as recruiting platforms, AI models, custom audiences, sales pipelines, and market research tools, solving the challenge of acquiring clean, fresh, and legally compliant people and company data at scale.[1][2][3] Key customers include leading tech platforms, with use cases spanning enrichment, predictive modeling, lead generation, and workforce analytics; growth is evident in its expansion from person data to comprehensive company insights, powering academic and business research globally.[1][3][4]
Founded in 2015 in New York with additional offices, People Data Labs emerged to address the rising demand for high-quality, compliant person data as companies shifted toward data departments focused on acquisition, security, and legal standards.[1] The company integrates thousands of compliantly sourced datasets into a single developer-friendly platform, starting with person profiles and evolving to include robust company data like 71.4+ million businesses, 28 million company profiles, 11 million domains, and 35 million social handles across 250 countries.[1][2][3][4] Early traction came from enabling recruiting enrichment and AI powering, scaling to over 2 billion profiles used by industry leaders, with pivotal growth in API matching logic and monthly data refreshes.[1][2]
People Data Labs rides the AI and data compliance wave, where enterprises increasingly rely on enriched person/company data to fuel LLMs, predictive analytics, and personalized experiences amid tightening privacy regulations like GDPR/CCPA.[1][2] Timing aligns with the explosion of data departments and tools like Snowflake/Databricks, enabling compliant scaling without infrastructure burdens; market forces favor it as IP-based lead gen and workforce insights become critical for sales/marketing in a fragmented B2B landscape.[2][3] PDL influences the ecosystem by democratizing access to global profiles (250 countries, 100 industries), supporting research on trends like remote work and environmental innovations, and bridging startups to conglomerates.[3][4]
PDL is poised to expand its company data dominance, potentially growing beyond 70M profiles with deeper AI integrations for real-time matching and predictive workforce tools amid rising demand for compliant B2B intelligence.[2][3] Trends like multimodal AI, stricter global regs, and IP traffic analytics will shape its path, amplifying influence in sales tech and research. As data becomes the "source of truth" for people-driven decisions, PDL's developer-first compliance edge positions it to power the next wave of enterprise AI platforms.[1]
People Data Labs has raised $54.8M in total across 4 funding rounds.
People Data Labs's investors include Craft Ventures, Bessemer Venture Partners, Next Play Ventures, Sequoia Capital, Theory Ventures, Yes VC, Allison Pickens (Allison Pickens Ventures), Max Mullen, Auren Hoffman, Bloomberg Beta, Heroic Ventures, Humba Ventures.
People Data Labs has raised $54.8M across 4 funding rounds. Most recently, it raised $45.0M Series B in November 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2021 | $45M Series B | Craft Ventures | Bessemer Venture Partners, Next Play Ventures, Sequoia Capital, Theory Ventures, YES VC, Allison Pickens (Allison Pickens Ventures), MAX Mullen, Auren Hoffman | Announced |
| Oct 1, 2018 | $7M Series A | — | Bloomberg Beta, Heroic Ventures, Humba Ventures, Shasta Ventures, BEN Davenport, John Kobs, Othman Laraki | Announced |
| Jul 1, 2016 | $2M Seed | — | Bloomberg Beta, David Namdar, Craft Ventures, Heroic Ventures, Humba Ventures, Sequoia Capital, Shasta Ventures, BEN Davenport, John Kobs, Othman Laraki, Susan Kimberlin | Announced |
| Feb 1, 2016 | $780K Seed | — | Coral (coral Defi) | Announced |