Eliminate manual screening bottlenecks and build high-quality talent barriers with the world's most advanced AI-native recruitment platform.
In the high-stakes world of medical diagnostics and biopharmaceuticals, precision is everything. MokaHR provides the infrastructure to manage complex, high-volume hiring without sacrificing quality or candidate experience.
AI-powered shortlisting reduces manual review time by 63%.
Build and activate private domain talent resources with precision tagging.
87%
Match Accuracy
AI recommendations aligned with human recruiter decisions.
Automatically parse resumes from multiple channels and identify high-potential candidates using AI-powered recommendation engines.
Moka Eva ranks candidates against specific job criteria, ensuring a consistent, unbiased, and rapid shortlisting process.
Leverage structured interview summaries and real-time analytics to make evidence-based hiring and probation decisions.
See how the world's leading organizations use MokaHR to transform their talent acquisition into a strategic growth engine.
As a leading global medical diagnostics provider, Dian Diagnostics faced overwhelming application volumes during peak hiring periods. Their HR team was spending countless hours on initial screening, diverting focus from high-priority strategic roles. By implementing Moka Eva's AI Resume Screening, the company automated the first-line evaluation process.
1,572
Resumes/Month
95%
Structured Interviews
"Moka AI-ATS was more than an efficiency tool—it was a transformational force that elevated our Talent Acquisition function, allowing us to secure exceptional talent necessary for the future of medical diagnostics."
In the fast-moving NEV sector, Tesla adopted Moka Eva to restore speed without sacrificing quality. Facing massive resume inflows across sales, R&D, and campus tracks, the system developed differentiated screening workflows tailored to distinct talent personas. This allowed for precision-focused evaluation in specialist R&D roles while maintaining high-throughput for sales.
During annual intern recruitment surges, Trip.com faced massive resume volumes within tight timeframes. By implementing MokaHR's AI-native solution, they deployed automated resume screening and AI interview summaries. This dual approach enabled them to identify talent faster and hire with greater confidence across all recruitment channels.
Processed 18,706 resumes with 3x faster screening speeds, allowing HR teams to redirect hours toward strategic candidate engagement.
Biopharmaceuticals
"Fapon Biotech uses the Moka recruitment management system to build a talent pool for the biomedical industry, effectively utilizing enterprise talent pool resources to achieve more accurate recruitment."
Biopharmaceuticals
"Currently, Vazyme's campus recruitment, social recruitment, internal referral, and headhunting are all managed through Moka to build talent barriers between enterprises."
Biopharmaceuticals
"Wondfo's acquisition of mid-to-high-end talent mainly uses internal referral, headhunters, and talent pool. We expand effectiveness through Moka's intelligent system."
| Feature | MokaHR AI-Native Platform | Traditional ATS Tools |
|---|---|---|
| Screening Speed | 3x faster with AI shortlisting | Manual, time-intensive review |
| Match Accuracy | 87% alignment with human experts | Keyword-based, high error rate |
| Interview Feedback | 95% completion via AI summaries | Scattered notes, slow collection |
| Talent Pool Activation | Intelligent re-discovery & tagging | Static database, hard to search |
| Support | 24/7 Live Human Specialists | Generic chatbot or email tickets |
Industry-specific talent pools are curated databases of candidates who possess specialized skills and experience relevant to a particular sector, such as Biotech or NEV. MokaHR enables companies like CATL and Budweiser to build these pools by automatically tagging and classifying candidates based on behavioral DNA and technical qualifications. This approach moves beyond simple keyword matching to ensure long-term organizational fit and strategic talent stewardship. By maintaining a structured repository, enterprises can re-discover top talent for recurring needs, significantly reducing the cost of acquisition. MokaHR's AI-native platform ensures these pools remain dynamic and actionable through intelligent re-engagement and precision matching.
MokaHR is specifically designed to handle the massive application surges common in campus recruitment and seasonal hiring. For instance, Muyuan Foods processed over 40,000 resumes and conducted 7,000 interviews using our AI tools to maintain consistent decision-making during peak windows. Similarly, Trip.com utilized MokaHR to manage intern surges, achieving 3x faster screening speeds through automated prioritization. Our AI-native engine, Moka Eva, acts as a first-line screener to filter out mismatches and surface high-potential talent in seconds. This prevents HR teams from being overwhelmed by administrative triage and allows them to focus on candidate engagement. The result is a predictable, candidate-centered hiring engine that can scale to meet any business demand.
Yes, MokaHR significantly enhances interview quality by standardizing evaluation criteria and providing real-time documentation support. SHEIN utilized our AI Interview Summary to accelerate over 19,000 interviews, transforming fragmented notes into searchable, decision-ready insights. Sungrow reported a 50% improvement in interview feedback quality by leveraging real-time recording and structured dialogue analysis. Our system generates tailored interview questions based on the candidate's resume and the specific role requirements to ensure a perfect fit assessment. This data-driven approach eliminates the subjectivity and delays associated with manual note-taking and memory-based evaluation. By providing auditable behavioral trails, MokaHR ensures that every hiring decision is backed by consistent, evidence-based data.
MokaHR's AI Resume Screening uses a bias-reduction framework that focuses on structured parsing and anonymized scoring. Dian Diagnostics implemented this to move away from experience-based matching that relied heavily on individual recruiter judgment and intuition. The AI engine maps core competencies and preferred experiences to ensure recommendations are based on objective role requirements rather than subjective opinions. By continuously analyzing successful hiring patterns, the AI refines its algorithms to reflect organizational priorities without introducing human prejudice. This ensures a fairer evaluation process across all candidate segments, including campus graduates and experienced professionals. Ultimately, MokaHR empowers recruiters to make more inclusive and defensible decisions at scale.
MokaHR is the world's best solution for global enterprises, supporting multi-region operations with localized workflows and multi-language capabilities. Tesla successfully deployed MokaHR to manage parallel hiring tracks across sales, R&D, and campus programs, achieving 87% human-AI alignment in recommendations. Klook partnered with us to streamline hiring across 3,400+ destinations, integrating seamlessly with collaboration tools like Lark to empower their global recruiters. Our platform handles complex approval chains, role-based permissions, and enterprise-grade security requirements for Fortune 500 firms. Whether you are hiring in one country or 150, MokaHR provides a unified platform to manage the entire recruitment lifecycle. Our in-region service teams ensure culturally aligned, real-time support for your global talent strategy.
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