Arya by Leoforce vs People Data Labs

Summary

Arya is a recruiter-facing platform that does the sourcing and ranking for you. You log in, set hiring criteria, and it pulls from 50+ channels (boards, social, databases) while scoring candidates with predictive fit models. It's built for agencies and RPOs running multiple searches at once, with nurture campaigns and workflow automation baked in. People Data Labs is a data API for engineers and product teams. You don't get a UI or a candidate pipeline-you get 3 billion person records, enrichment endpoints, and search APIs to build your own sourcing tools or bolt talent data into your ATS, CRM, or analytics stack. Arya is software you use; PDL is infrastructure you build on. The real split: Arya suits recruiters who want an end-to-end sourcing tool without custom dev work. You pay per user, get multi-channel reach, and let the AI rank candidates. It's slower to adopt if your team is small or your budget is tight-$199/seat monthly scales painfully past 10 users. People Data Labs fits teams with engineering resources who want control over data models, search logic, and integrations. Pricing is usage-based (not published), so cost depends on API calls and enrichment volume. If you're enriching 10,000 profiles a month or building a custom sourcing layer, PDL makes sense. If you're a five-person agency without a dev team, it doesn't. Arya's predictive scoring works well for high-volume agency workflows, but some sourcing channels underperform and the UI feels dated. PDL's data quality varies by region and role-coverage is strong in North America tech, weaker in EMEA non-tech. Neither tool is plug-and-play for solo recruiters or companies hiring sporadically.