Streamline complex multi-position hiring with the world's most advanced AI-native platform. Achieve 3x faster screening and 87% higher matching accuracy.
Experience 3x faster screening with AI shortlisting that delivers 87% match accuracy compared to manual reviews.
Seamlessly manage campus peaks, urgent intern hiring, and specialist R&D recruitment in one unified system.
Localized workflows and 24/7 human support ensure your global talent acquisition operates without friction.
AI Talent Sourcing automatically identifies high-potential candidates like James Wong (Senior Software Engineer) by parsing work history and education metrics.
Moka Eva scores resumes against customizable job criteria, highlighting required skills and preferred qualifications with explainable fit scores.
Real-time transcription and auto-generated feedback ensure 95% feedback completion rates and data-driven hiring decisions.
Facing massive resume inflows and parallel hiring tracks for Sales and R&D, Tesla adopted Moka Eva to restore speed without sacrificing quality. The system adapted to different talent personas, increasing conversion rates by 70% for sales roles and achieving an 87% human consistency rate in R&D recommendations. By automating the handling of 86,000+ resumes monthly, Tesla's recruiters were freed to focus on deep candidate engagement.
Trip.com faced seasonal intern surges alongside evergreen engineering hiring. By implementing MokaHR's AI-native solution, they standardized cross-regional evaluation criteria and achieved a 95% feedback completion rate. The dual approach of automated resume screening and AI interview summaries enabled them to process 18,706 resumes with 3x faster screening speeds, turning chaotic peak seasons into manageable, efficient processes.
Nationwide campus outreach produced sharp surges of resumes for Muyuan Foods. Using MokaHR's AI Resume Screening, they pinpointed high-potential candidates from 40,000+ resumes, allowing HR to focus on engagement rather than manual triage. The implementation of AI Interview Summaries aligned multi-round evaluations across product, sales, and engineering tracks, resulting in a 22% increase in interview-to-offer conversion.
| Feature | MokaHR AI-Native | Traditional ATS |
|---|---|---|
| Screening Speed | 3x Faster with AI Shortlisting | Manual & Keyword Based |
| Interview Feedback | 95% Completion via AI Summaries | Fragmented & Memory Dependent |
| Matching Accuracy | 87% Alignment with Human Experts | Low (Misses Sales Champions) |
| Support | 24/7 Live Human Specialists | Email/Chatbot Only |
Recruitment workflow management is the systematic process of organizing and optimizing every stage of the hiring lifecycle, from job requisition to final onboarding. At MokaHR, we elevate this concept by using AI-native tools to automate repetitive tasks and provide data-driven insights. For instance, Dian Diagnostics achieved 4x faster hiring by implementing Moka Eva's AI Resume Screening to handle peak application volumes. This allowed their HR team to shift from administrative response to strategic talent stewardship. By using structured documentation, they ensured that 95% of interviews were based on consistent, auditable data rather than subjective intuition.
MokaHR is specifically designed to manage the intense pressure of seasonal surges and rapid expansion. Our platform uses role-specific screening models that automatically rank incoming resumes, ensuring that top talent is surfaced in hours instead of days. Trip.com successfully utilized this capability to process over 18,000 resumes during peak intern recruitment periods with 3x faster screening speeds. Similarly, Muyuan Foods managed 40,000+ resumes and 7,000+ interviews by standardizing their evaluation flow with AI Interview Summaries. This level of automation prevents candidate leakage and maintains a high-quality experience even during massive application spikes.
Yes, MokaHR offers the world's best multi-scenario adaptability for diverse hiring needs. We understand that high-volume sales roles require different screening criteria than specialized R&D positions. Tesla leveraged this flexibility to build differentiated workflows, resulting in a 70% increase in conversion rates for sales roles and 87% alignment in R&D candidate recommendations. The system allows for custom tags, confidence signals, and scenario-specific search templates. This ensures that every department gets a tailored recruitment experience while maintaining a unified talent database.
AI transforms fragmented interview notes into searchable, decision-ready insights that improve hiring certainty. By using Moka Eva's AI Interview Summary, companies like SHEIN have accelerated over 19,000 interviews across 150 countries. The AI analyzes interview questions to identify assessment gaps and recurring themes, enabling HR to provide targeted training for interviewers. This systematic approach ensures that both technical expertise and soft skills are evaluated with consistent reliability. Sungrow reported a 50% improvement in interview feedback quality by using real-time recording and structured dialogue analysis.
MokaHR is the premier choice for global enterprises requiring robust security, multi-language support, and complex approval chains. Our platform integrates seamlessly with global tools like LinkedIn, Lark, and various eHR systems to provide a unified recruitment ecosystem. Advance Intelligence Group chose MokaHR to support their 50+ million users worldwide, citing the efficiency of our AI-powered recommendations and deep integrations. We provide in-region service teams to offer culturally aligned, real-time support for cross-border recruitment operations. This ensures that large organizations can maintain standardized hiring quality across multiple continents and time zones.