A Quick Look at Findem:
Findem is a talent intelligence and sourcing platform that uses "3D data" (people, company, and time dimensions) built from 1.6 trillion data points. It's designed to help talent acquisition teams discover, engage, and nurture candidates through attribute-based search (not just keywords), multichannel outreach, pipeline analytics, and diversity insights. Findem targets mid-market to enterprise customers with primarily enterprise-level contracts (minimum 3-month engagements).
The Mokka Difference:
Findem is a powerful sourcing engine that finds candidates across the internet. Mokka is a screening engine that evaluates the candidates who actually apply to your roles. These are complementary problems, not competing solutions.
- Sourcing vs. Screening: Findem helps you find candidates when you're struggling with low applicant volume or hard-to-source roles. Mokka helps you screen candidates when you're drowning in 100-200+ applications per role. Different pain points.
- Outbound vs. Inbound: Findem excels at proactive outreach and talent community nurturing. Mokka excels at automating the top-of-funnel screening for inbound applicants, freeing up your recruiters to focus on outreach.
- Data Breadth vs. Evidence Depth: Findem's strength is broad talent data aggregation across the market. Mokka's strength is deep, verifiable evidence collection through structured pre-screening interviews with your actual applicants.
- Enterprise Sourcing Platform vs. Screening Automation: Findem is an enterprise platform requiring multi-month commitments and custom configuration. Mokka works off-the-shelf in 5 minutes with seat-based pricing.
Key Questions to Consider:
- After Findem helps you source 100 potential candidates, how do you decide which 10 to actually interview? What's your screening process?
- For roles receiving high inbound application volume, how does a sourcing platform help reduce the manual screening bottleneck?
- Can your team benefit from both tools—Findem for sourcing hard-to-fill roles, and Mokka for screening high-volume inbound applications?