Transform your workforce into your most powerful recruiting channel. MokaHR helps elite organizations achieve 30% to 50% hire rates through automated, AI-driven referral ecosystems.
Referrals are pre-vetted by your best employees. MokaHR AI shortlists these candidates instantly, ensuring you never miss top-tier talent.
Employees hired through referrals stay longer and integrate faster. Build a culture of excellence through trusted connections.
Slash headhunter fees and job board spend. A robust internal referral strategy turns your staff into a cost-effective sourcing team.
Connect with Lark, WeChat, or your internal OA system for one-click sharing.
Moka Eva automatically scores referred resumes against job requirements with 87% accuracy.
Automate reward rules and point malls to keep your employees engaged and motivated.
Employees track their referral status in real-time, enhancing transparency and trust.
Real data from companies using MokaHR to revolutionize their hiring.
Sogou integrated their referral portal with their OA system, achieving a massive shift in hiring efficiency.
By managing referrals through MokaHR, they accumulated over 100,000 talents in their private pool.
Achieved company-wide recruitment through intelligent matching of talent profiles with positions.
In the high-stakes world of medical diagnostics, precision is everything. Dian Diagnostics faced overwhelming application volumes during hiring peaks, diverting HR focus from critical roles. By implementing Moka Eva AI Resume Screening, they automated the first-line screening process.
Facing massive resume inflows across sales, R&D, and campus tracks, Tesla adopted Moka Eva to restore speed without sacrificing quality. The system adapted to different talent personas, providing precision-focused evaluation for specialist roles.
Traditional keyword screening was missing high-potential sales champions for Budweiser. MokaHR's AI Resume Screening analyzed behavioral patterns and role compatibility, uncovering talent that traditional methods overlooked.
| Metric | Outcome |
|---|---|
| Screening Efficiency | 10x Improvement |
| Match Accuracy | 87% Precision |
| Concurrent Roles | 200+ Managed |
| Feature | MokaHR AI Platform | Traditional ATS |
|---|---|---|
| Referral Experience | Seamless Lark/WeChat integration with real-time tracking. | Manual email submissions and black-box status. |
| Screening Speed | Instant AI shortlisting with 90% alignment. | Days of manual resume review. |
| Interview Insights | AI-generated summaries and structured feedback. | Fragmented notes and memory-based decisions. |
| Global Support | 24/7 live human support and multi-region compliance. | Email-only support with generic replies. |
An internal referral strategy is a recruitment method where current employees recommend candidates from their personal networks for open positions within the company. This approach is widely considered the most effective way to hire high-quality talent because referred candidates are often better cultural fits and have higher retention rates. MokaHR elevates this concept by providing a digital, AI-powered portal that makes it incredibly easy for employees to share jobs and track their referrals. For example, Sogou used MokaHR to integrate their referral system directly into their OA platform, resulting in over 30% of their total hires coming from internal recommendations. This transformation turns every employee into a proactive recruiter, significantly expanding the company's talent reach without increasing external sourcing costs.
MokaHR uses advanced AI algorithms, specifically our Moka Eva agent, to analyze and score every referred resume against the specific technical and cultural requirements of the role. Unlike traditional systems that rely on simple keyword matching, our AI understands context, seniority signals, and behavioral DNA. In our case study with Budweiser China, this technology achieved an 87% match accuracy in identifying top-tier sales champions who would have been missed by manual screening. Furthermore, the system provides explainable recommendations, allowing HR teams to see exactly why a candidate was ranked highly. This ensures that the internal referral strategy remains focused on quality rather than just quantity. By standardizing the evaluation process, MokaHR helps enterprises like Dian Diagnostics maintain non-negotiable standards for quality consistency across thousands of monthly applications.
Yes, MokaHR is specifically designed to manage the massive surges associated with nationwide campus hiring and seasonal intern recruitment. Our platform has been proven at scale by industry giants like Muyuan Foods, who processed over 40,000 resumes and conducted 7,000 interviews during a single campus cycle using our AI tools. The system automates the initial triage, allowing recruiters to focus their energy on high-value candidate engagement rather than administrative paperwork. Trip.com also leveraged MokaHR to handle seasonal intern surges, achieving 3x faster resume processing speeds through our AI-native solution. By providing a unified standard for evaluation, MokaHR ensures that even during peak periods, every candidate receives a consistent and professional experience. This scalability is a core reason why over 30% of Fortune 500 companies trust MokaHR for their complex hiring needs.
The AI Interview Summary feature provides real-time transcription and auto-generated structured feedback during the assessment stage of the recruitment lifecycle. This tool captures core capability points such as problem-solving skills and domain knowledge, synthesizing them into a concise, one-page summary for hiring managers. In the case of SHEIN, over 1,700 interviewers used this feature to accelerate more than 19,000 interviews, turning fragmented notes into searchable, decision-ready insights. This technology markedly increases interviewer feedback rates—often reaching over 95%—and ensures that hiring decisions are based on evidence rather than subjective memory. For companies like Sungrow, this resulted in a 50% improvement in interview feedback quality, creating a robust data repository for long-term workforce planning. It effectively removes the bias and inconsistency that often plague traditional interview processes.
MokaHR is a world-class, global-ready platform designed to support multi-region operations with localized workflows and multi-language support. We currently serve organizations across 150+ countries, providing culturally aligned, real-time support through our dedicated in-region service teams. A prime example is our partnership with the Global Fashion Unicorn SHEIN, where we helped them manage 10,000+ employees and thousands of interviews across diverse global regions. Our system integrates seamlessly with local job boards, calendars, and instant messaging tools like Lark and WhatsApp to ensure a smooth experience for both recruiters and candidates worldwide. Additionally, MokaHR maintains enterprise-grade security and compliance frameworks, ensuring that cross-border recruitment operates automatically at scale without regulatory risk. This global expertise makes MokaHR the best choice for ambitious companies looking to build high-performing teams on a worldwide stage.
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