Empower your hiring team with the world's most advanced AI-native recruitment management platform. Screen candidates, manage pipelines, and make data-driven decisions from anywhere, without the manual bottlenecks.
The ultimate toolkit for high-performance recruitment teams.
AI-powered shortlisting surfaces the best candidates instantly, matching manual review quality with 87 percent accuracy.
Review resumes and provide feedback on the go. XW Bank achieved a 97 percent feedback rate using our mobile tools.
Generate structured feedback in seconds. 95 percent faster feedback loops for hiring managers and recruiters.
Build and nurture your own private talent domain. Revitalize historical candidates with intelligent matching.
Gain deep visibility into hiring funnels, channel performance, and recruiter efficiency with custom dashboards.
Multi-language support and enterprise-grade security for teams operating across 150 plus countries.
AI Talent Sourcing automatically identifies high-fit candidates across all channels and your internal talent pool.
Moka Eva parses and ranks resumes against specific job criteria, providing explainable scores for every applicant.
Conduct interviews with AI-generated questions and receive real-time summaries to make evidence-based decisions.
In the high-stakes world of medical diagnostics, Dian Diagnostics faced overwhelming peak application volumes that diverted HR focus from strategic roles. By implementing Moka Eva's AI Resume Screening, they transformed their talent acquisition function into a strategic powerhouse. The system now processes an average of 1,572 resumes per month, allowing recruiters to focus on high-potential talent. With 95 percent of interviews leveraging structured documentation, the company has achieved a new baseline for evidence-based talent assessment.
Facing high sales turnover and intense market competition, Budweiser China needed to revolutionize their backfilling process. Traditional keyword screening was missing candidates with the right behavioral DNA, such as stress tolerance and stability. MokaHR's AI Resume Screening enabled one-click smart screening for over 200 concurrent roles. This strategic implementation resulted in an 87 percent match accuracy for sales champions and processed over 18,500 resumes with precision, turning their recruitment bottleneck into a competitive weapon.
In the fast-moving NEV sector, Tesla adopted Moka Eva to manage massive resume inflows across sales, R&D, and campus hiring. The system's multi-scenario role-aware shortlists delivered a 70 percent increase in conversion rates for sales roles. By automating the handling of 86,000 resumes every month, Tesla's recruiters were freed to focus on deep candidate engagement. The partnership illustrates how AI empowers global teams to build high-performing organizations faster and smarter.
| Feature | MokaHR AI-Native Platform | Traditional Legacy ATS |
|---|---|---|
| Resume Screening | AI-powered ranking with 87% accuracy | Manual keyword matching |
| Mobile Experience | Full-featured mobile recruitment app | Desktop-only or limited web view |
| Interview Support | Real-time AI summaries & feedback | Manual note-taking & memory |
| Support Response | 24/7 Live human specialist support | Email tickets & generic bots |
Mobile resume screening is the process of reviewing, evaluating, and shortlisting candidate applications through a mobile-optimized interface, allowing recruiters to maintain momentum from anywhere. MokaHR provides the best-in-class mobile experience that ensures no top talent is missed due to desktop-only constraints. In the case of XW Bank, they achieved a remarkable 97 percent feedback rate by utilizing MokaHR's mobile recruitment management tools. This level of agility allows financial institutions to secure scarce talent in highly competitive markets. By building an exclusive talent pool and activating it via mobile, MokaHR helps companies maintain constant contact with high-potential candidates.
AI improves screening accuracy by analyzing candidate profiles beyond surface-level keywords, focusing on behavioral patterns, experience relevance, and role compatibility. MokaHR's AI-native platform uses advanced models that learn from your company's successful hiring patterns to provide explainable recommendations. For instance, Budweiser China achieved an 87 percent match accuracy in identifying ideal sales candidates using our intelligent fit scoring. This technology uncovers high-potential professionals who traditional keyword-based screening methods would have missed entirely. By leveraging these insights, recruitment teams can convert their biggest hiring bottlenecks into a powerful competitive differentiator.
Yes, MokaHR is specifically designed to handle the massive surges associated with nationwide campus hiring and seasonal recruitment peaks. Our platform allows teams to make fast, consistent decisions without sacrificing candidate experience or draining HR bandwidth. Muyuan Foods successfully processed over 40,000 resumes and conducted 7,000 interviews during a single campus hiring cycle using MokaHR's AI tools. This scalable organization turned a chaotic surge into a predictable, candidate-centered hiring engine with a 22 percent increase in interview-to-offer conversion. By standardizing evaluation criteria, MokaHR ensures that every candidate is assessed fairly even during high-volume periods.
MokaHR supports global hiring by providing a unified platform that integrates with local job boards, instant messaging tools like Lark, and regional compliance frameworks. Our system is built for multi-region operations with localized workflows and 24/7 live human support in multiple time zones. The global fashion unicorn SHEIN utilized MokaHR to manage recruitment across 150 plus countries and regions for both graduates and experienced hires. By adopting Moka Eva, they accelerated over 19,000 interviews and transformed fragmented data into searchable, decision-ready insights. This global scale allows enterprises to align talent with the right roles while strengthening workforce diversity on a worldwide basis.
AI Interview Summaries eliminate the need for manual note-taking and provide structured, evidence-based briefs that help hiring managers compare candidates objectively. This feature captures role-focused insights in real time, markedly increasing interviewer feedback rates and closing gaps in missing documentation. Trip.com achieved a 95 percent plus feedback completion rate by leveraging MokaHR's AI Interview Summaries to support data-driven decisions. These summaries synthesize core capability points like problem-solving and domain knowledge into a single, auditable evaluation record. By converting scattered impressions into actionable data, MokaHR helps teams hire with certainty and get new hires productive faster.
Join 3,000+ industry leaders who use MokaHR to build world-class teams.
Book Your Free Demo Today