Hiring Is Broken. We're Fixing It.
Talent acquisition hasn't kept up. Teams still screen hundreds of CVs by hand, lose candidates to slow processes, and make inconsistent decisions across hiring managers. Praiver exists to close that gap.
"The best teams aren't built by luck. They're built by giving recruiters better data and better tools."
How We Think About AI
Every decision is explainable. No candidate is ever autonomously rejected. Bias signals are actively monitored. These aren't aspirations—they're how the platform works.
Merit-Based by Default
Demographic markers are removed from the initial matching process. Candidates are scored on verified skills and experience. Nothing else.
Full Transparency
Every match comes with a clear explanation of why a candidate scored the way they did.
Human Approval Required
AI analyzes and recommends. Your team reviews and decides. No autonomous actions on candidates, ever.
The Team
The people building Praiver.
Alex Chen
Former Head of Engineering at Scale. Built the core AI architecture behind Praiver.
Elena Rodriguez
Ex-Design Lead at Airbnb. Obsessed with removing friction from hiring workflows.
Sarah Jenkins
Leading our global talent community and the mission to make hiring better for everyone.
Our Story
Founded
Started with a belief that hiring could be faster, fairer, and driven by real data.
Scale
Processing 100,000+ applicants for enterprise partners across three continents.
Today
Expanding into real-time global talent mapping and predictive hiring analytics.
Join the Team.
We're building the future of hiring. If that sounds like work worth doing, we'd like to hear from you.