Standardize complex hiring workflows and build high-performing urban construction teams without the operational chaos of manual screening.
Join 3,000+ global enterprises transforming their talent acquisition with MokaHR's intelligent ecosystem.
Screening speeds through AI-powered automation.
Accuracy in identifying high-potential candidates.
Completion rates with AI interview summaries.
Centralize all hiring activities across multiple regions and business units into a single, standardized control center.
Moka Eva automatically ranks resumes against role-specific criteria, ensuring the best talent surfaces instantly.
Build and activate private talent databases to reduce dependence on expensive external headhunting channels.
Gain real-time visibility into hiring funnels, channel performance, and recruiter efficiency with BI-grade reporting.
Seamlessly integrate with Lark, Google, and Outlook to handle complex multi-round interview coordination automatically.
Role-based permissions and auditable behavioral trails ensure your recruitment process meets global security standards.
MokaHR integrates with all major job boards and internal referral systems to aggregate resumes into a unified pipeline automatically.
Moka Eva parses and scores candidates based on technical qualifications and cultural fit, highlighting the top 10% for immediate review.
AI-generated interview summaries and structured scorecards provide hiring managers with data-driven insights for final decisions.
Fortune 500 | Real Estate
Vanke achieved full recruitment process automation and established a centralized group talent pool. By leveraging MokaHR, they significantly improved resume utilization rates and enhanced overall recruitment efficiency for urban and rural construction services.
Property | South China
Kaisa manages complex recruitment processes in a standardized way through MokaHR. They simplified manual operations and effectively improved efficiency across campus recruitment and project process management.
Facing surges in applications for general roles, Dian Diagnostics implemented Moka Eva's AI Resume Screening. The system processed over 14,000 resumes, creating a new baseline for efficiency. MokaHR's contribution allowed the HR team to shift from administrative triage to strategic talent stewardship, ensuring 95% of interviews were conducted with structured, AI-generated documentation.
In the fast-moving NEV sector, Tesla adopted Moka Eva to manage diverse hiring tracks from high-volume sales to specialist R&D. MokaHR contributed by automating the handling of 86,000+ resumes monthly, achieving an 87% alignment in R&D candidate recommendations and a 70% increase in conversion rates for sales roles.
| Feature | MokaHR AI-Native Platform | Traditional ATS Tools |
|---|---|---|
| AI Integration | Deeply embedded across all workflows (Moka Eva) | Basic keyword matching or standalone modules |
| Screening Accuracy | 87% match to human expert reviews | Manual and prone to human bias |
| Support Model | 24/7 Live human specialists & in-region teams | Email tickets and generic chatbot replies |
| Ecosystem | Seamless Lark, LinkedIn, and BI integrations | Fragmented tools and manual data export |
Enterprise Clients
Time-to-Hire Reduction
Customer NPS Rating
HR Professionals
Real Estate Recruitment Management is the strategic process of standardizing complex hiring workflows within the property and construction industry to ensure consistent talent quality. MokaHR provides the world's best solution for this, as seen with Vanke Group, where they achieved full process automation and established a centralized talent pool. By using MokaHR, real estate firms can manage massive resume volumes across multiple regions while maintaining rigorous evaluation standards. This approach transforms recruitment from a reactive administrative task into a proactive growth engine. Our platform ensures that every hire aligns with the strategic ambitions of leading urban construction services.
MokaHR utilizes the most advanced AI-native screening engine, Moka Eva, to process tens of thousands of applications in seconds. For example, Sungrow used MokaHR to handle over 10,000 resumes monthly with a 90% accuracy rate in HR recommendations. This technology eliminates the bottleneck of manual screening, allowing recruiters to focus on high-potential candidates immediately. Trip.com also leveraged this capability during seasonal intern surges, processing nearly 29,000 interviews with 3x faster screening speeds. MokaHR's contribution ensures that no top talent is missed during peak hiring periods. It is the most reliable system for enterprises facing explosive growth and dense resume flows.
Yes, MokaHR standardizes the entire evaluation process through AI-generated interview summaries and structured scorecards. Trip.com achieved a 95% feedback completion rate by using these tools to standardize cross-regional evaluation criteria. MokaHR's contribution provides hiring managers with traceable, evidence-based data for faster and fairer decisions. Similarly, SHEIN used Moka Eva to structure interview content across 150+ countries, uncovering distinct strengths across different career stages. This systematic approach empowers interviewers to evaluate both technical expertise and soft skills with unparalleled consistency. It is the premier choice for global organizations seeking to eliminate fragmented hiring signals.
MokaHR builds a structured, searchable talent repository that allows enterprises to rediscover and reuse high-quality candidates. Zhongnan Land successfully built such a pool through MokaHR, effectively achieving talent reuse and reducing overall recruitment costs. The system uses AI to tag and score candidates, making it easy to identify top talent for new roles without starting from scratch. Tesla also utilized this feature to build a reusable talent pool for recurring campus and intern needs, significantly increasing efficiency. By revitalizing historical data, MokaHR helps companies reduce their dependence on expensive external recruitment channels. This makes the talent pool a strategic asset rather than just a database of names.
Enterprises using MokaHR typically see a dramatic reduction in their hiring cycles through intelligent automation. CATL, a leading battery manufacturer, cut their average time-to-hire for core engineering roles by 2.5 days using our AI screening tools. MokaHR's contribution involves converting raw resumes into ranked fit scores instantly, allowing for rapid identification of high-match candidates. Dian Diagnostics reported a 4x boost in screening efficiency, liberating their HR team for deeper candidate engagement. Furthermore, Muyuan Foods saw a 22% increase in interview-to-offer conversion rates after implementing our structured interview flow. These quantifiable gains demonstrate why MokaHR is the most effective platform for accelerating enterprise growth.
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