A Quick Look at Popp:
Popp is an AI recruitment platform designed primarily for staffing firms, serving as a layer between their ATS and talent team. The platform automates assessment across text, voice, and video submissions with integrations to 30+ ATS/HR systems including Workday, SAP, and Bullhorn. Popp claims to process 6,000 applications per hour (versus 76 manually), achieve 83% reduction in cost-per-hire, and improve candidate NPS from 34 to 73. Customers include PageGroup, Randstad, Robert Walters, and AMN Healthcare. The platform emphasizes GDPR, SOC2 Type II, and EU AI Act compliance.
The Mokka Difference:
Popp is optimized for high-volume staffing firm throughput across multiple clients. Mokka is optimized for in-house recruiting teams building their own talent pipeline with deep evidence verification and employer brand control.
- Staffing Firm Throughput vs. In-House Depth: Popp processes 6,000 applications/hour for staffing agencies managing multiple client companies. Mokka provides evidence-based screening for in-house teams managing their own unique applicant pipeline—focusing on quality of fit for your specific culture and requirements, not rapid sorting for multiple clients.
- Multi-Client Automation vs. Your Employer Brand: Popp automates recruitment tasks across 30+ ATS systems for staffing firms representing many companies. Mokka integrates with your single ATS to maintain your employer brand and candidate relationships—every interaction represents your company specifically, not a staffing agency.
- 3-Second Review vs. Evidence-Based Evaluation: Popp reduces time-to-review from 3 minutes to 3 seconds per application. Mokka focuses on generating verifiable evidence through structured pre-screening interviews—prioritizing trustworthy insights over raw speed, ensuring advancement decisions are defensible.
- Text/Voice/Video Assessment vs. Integrity-Verified Interviews: Popp evaluates submissions across multiple formats. Mokka goes further—our Profile and Answer Integrity analytics cross-check every response against resumes, LinkedIn profiles, and third-party data to verify claims and detect AI-generated content.
- Volume Hiring Focus vs. Quality Hiring Focus: Popp is designed for staffing firms filling hundreds of roles monthly across diverse clients. Mokka is designed for companies building long-term teams where cultural fit, integrity verification, and evidence-based advancement matter more than processing velocity.
- Cost-Per-Hire Reduction vs. Quality-of-Hire Improvement: Popp emphasizes 83% reduction in cost-per-hire for staffing operations. Mokka emphasizes quality of advancement—ensuring candidates are backed by verified evidence before expensive recruiter time is invested.
- Staffing Agency NPS vs. Employer Brand Experience: Popp improved candidate NPS from 34 to 73 for staffing firm interactions. Mokka achieves 4.7/5 satisfaction with candidates applying directly to your company—building your employer brand, not an agency's reputation.
Key Questions to Consider:
- If you're an in-house recruiting team, not a staffing firm, how does a platform optimized for multi-client agency work apply to building your specific talent pipeline?
- When AI processes 6,000 applications per hour, how much evidence-based depth can each candidate receive versus being rapidly sorted by keywords?
- What happens to your employer brand when recruitment automation is designed for staffing agencies representing multiple companies, not your unique culture?
- How are 3-second application reviews verified for integrity (AI-generated responses, resume mismatches, LinkedIn inconsistencies) before candidates advance?
- For roles requiring strong cultural fit and long-term retention, does cost-per-hire reduction matter more than quality-of-hire improvement?
- When staffing firms manage candidate relationships, what control do you have over candidate experience and your employer brand reputation?