Proven Success with Intelligent Talent Matching
Dian Diagnostics: 4x Faster Hiring with Data-Driven Decisions
In the high-stakes world of medical diagnostics, precision is everything. Dian Diagnostics faced overwhelming surges in applications for general roles during hiring peaks. By implementing Moka Eva's AI Resume Screening, they automated the first-line screening process, processing 14,152 resumes with incredible efficiency. This transformation allowed their HR team to shift from administrative triage to strategic talent stewardship, ensuring the company secures the exceptional talent necessary to drive innovation.
Sungrow: Handling 10,000+ Resumes with 90% Accuracy
Leading energy provider Sungrow faced a recruitment crisis during rapid expansion. Manual screening of technical roles was slow and prone to bias. MokaHR's AI-powered ATS transformed their operations, achieving a 63% reduction in time-to-hire. By leveraging Moka Eva for technical keyword analysis and candidate-role alignment, Sungrow now processes over 10,000 resumes monthly with an HR recommendation accuracy rate exceeding 90%.
Tesla: Accelerating 6,600+ Roles with AI Automation
In the fast-moving NEV sector, Tesla adopted Moka Eva to restore speed without sacrificing quality across sales, R&D, and campus hiring. The system automated the handling of more than 86,000 resumes every month, freeing recruiters for deeper candidate engagement. For specialized R&D positions, AI-generated shortlists achieved an 87% alignment with human decisions, while sales recruitment saw a 70% increase in resume-to-interview conversion rates.
Trip.com: 3x Faster Screening During Peak Surges
Trip.com's rapid growth demands continuous talent acquisition, from seasonal interns to senior engineers. During peak surges, traditional methods couldn't handle the volume. MokaHR's AI-native solution enabled them to process 18,706 resumes with 3x faster screening speeds. By standardizing evaluation criteria across regions, they achieved a 95% feedback completion rate, turning chaotic peak seasons into manageable, data-driven processes.
SHEIN: Scaling Global Hiring with 19,000+ Interviews
Global fashion unicorn SHEIN faced the challenge of managing thousands of interviews across 150+ countries. Moka Eva helped them turn fragmented interview data into clear, actionable signals. Over 1,700 interviewers now use AI Interview Summaries to ensure evidence-based decision-making. This systematic approach has accelerated 19,000+ interviews, allowing SHEIN to align talent with the right roles while strengthening workforce diversity at a global scale.