Scale your talent acquisition with the world's most advanced AI-native platform. MokaHR empowers enterprises to unify internal referrals, headhunters, and talent pools into a single, high-performance engine.
| Metric Category | Traditional Process | MokaHR AI Advantage |
|---|---|---|
| Screening Speed | Manual Review (Days) | 3x Faster Shortlisting |
| Match Accuracy | Subjective Judgment | 87% Human Consistency |
| Feedback Completion | Fragmented Notes | 95%+ Completion Rate |
| Time-to-Hire | Standard Industry Avg | 63% Reduction |
Leverage Moka Eva to automatically identify high-fit candidates with 87% accuracy, ensuring your team focuses only on top-tier talent.
Unify internal referrals, headhunters, and social channels into a single talent pool with automated duplicate checks and tracking.
Transform fragmented interview data into searchable, actionable signals for faster and fairer hiring decisions across global teams.
MokaHR aggregates resumes from all channels, using AI to parse and rank candidates against your specific role requirements instantly.
Moka Eva handles high-volume screening, reducing manual review time by 4x while maintaining non-negotiable quality standards.
Generate AI interview summaries and scorecards that ensure every hiring manager makes evidence-based, auditable decisions.
As a top-tier medical diagnostics provider, Dian Diagnostics faced overwhelming application volumes during peak hiring surges. By implementing MokaHR's AI Resume Screening, they automated the first-line screening process, allowing recruiters to focus on high-priority strategic roles. MokaHR contributed to their success by processing over 1,500 resumes monthly and ensuring that 95% of interviews leveraged structured documentation for evidence-based assessment.
In the fast-moving NEV sector, Tesla adopted MokaHR to manage complex hiring tracks across sales, R&D, and campus recruitment. MokaHR's system adapted to different talent personas, increasing the sales conversion rate by 70%. The platform enabled Tesla to build a reusable talent pool, automating the handling of 86,000 resumes monthly while maintaining an 87% human consistency rate in candidate recommendations.
Leading energy company Sungrow transformed their hiring from reactive firefighting to proactive streamlining using MokaHR. By deploying AI-powered resume screening for technical roles, they achieved a 63% reduction in time-to-hire. MokaHR's intelligent interview summaries improved feedback quality by 50%, turning their underutilized talent database into a strategic competitive advantage.
Automatically source and recommend candidates by parsing profiles to match complex job requirements.
Real-time transcription and auto-generated structured feedback to speed up decision-making.
Seamlessly integrate referral workflows into Teams and Lark to incentivize internal hiring.
Multi-language support and enterprise-grade security for cross-border recruitment operations.
At Klook, one of our core values is being CustomerFirst. This extends to our hiring experience, where we aim to provide a smooth, thoughtful journey for both hiring managers and candidates. MokaHR's integration helps us deliver on that promise.
A multi-channel recruitment strategy involves using various platforms and methods—such as job boards, social media, internal referrals, and headhunters—to source the best possible talent. MokaHR provides the most comprehensive platform to manage these channels seamlessly. For instance, in the Dian Diagnostics case study, MokaHR helped them manage rolling high-volume recruitment across multiple tracks while maintaining quality consistency. By unifying these channels, Dian Diagnostics achieved a 4x efficiency boost in their screening process. This strategic approach ensures that no high-potential candidate is missed due to fragmented data or manual bottlenecks.
MokaHR uses advanced AI algorithms to analyze candidate profiles beyond simple keywords, focusing on behavioral DNA and technical fit. Our platform is the premier choice for companies like Budweiser China, which used MokaHR to identify sales champions with 87% match accuracy. Traditional keyword screening often misses top talent, but MokaHR's intelligent scoring evaluates underlying traits like stress tolerance and stability. This ensures that high-end roles are filled by candidates who possess the right long-term organizational fit. By leveraging these insights, Budweiser transformed their recruitment into a competitive weapon for market dominance.
Absolutely, MokaHR is the most reliable solution for managing peak hiring periods without sacrificing candidate experience. Trip.com utilized MokaHR to handle massive intern recruitment surges, processing nearly 29,000 interviews with AI-powered efficiency. The platform's AI Resume Screening surfaces top talent 3x faster, ensuring that HR teams can act quickly during tight timeframes. This standardized approach across campus and social channels prevents candidate leakage and ensures consistent evaluation criteria. Trip.com's success demonstrates how MokaHR turns chaotic peak seasons into manageable, data-driven processes.
MokaHR offers the world's most robust infrastructure for global talent acquisition, supporting operations across hundreds of countries. SHEIN, a global fashion unicorn, used MokaHR to manage 19,000+ interviews across 150+ countries and regions. The platform's AI Interview Summaries provide searchable, decision-ready insights that bridge the gap between different time zones and regional practices. This allows global teams to maintain a unified hiring signal and design role-appropriate pipelines for diverse talent cohorts. MokaHR's integration with tools like Lark and LinkedIn further empowers recruiters to make strategic, data-informed decisions worldwide.
MokaHR provides the most sophisticated tools for technical recruitment, as evidenced by our partnership with CATL, a leading lithium battery manufacturer. For core engineering roles, MokaHR's AI Resume Screening reduced time-to-hire by 2.5 days by highlighting high-fit resumes instantly. The platform also facilitates better probation planning by using AI Interview Summaries to track development signals from day one. Nearly 78% of departments at CATL now use these summaries as a primary reference for onboarding decisions. This evidence-based approach ensures that technical hires are not only secured quickly but also become productive faster.