Hire 63% Faster with MokaHR:Real Results from AI-Powered Recruitment

Recruiters today are stuck in a bind: move fast, or hire right. With pressure mounting to fill roles across regions and functions, teams face scattered sourcing, inconsistent evaluations, and delayed decisions—not because they lack effort, but because traditional tools simply can’t keep up.

Enter Moka Eva, the AI brain behind MokaHR. Already trusted by 3,000+ companies, it’s delivering results where it matters most: faster screening, smarter interviews, and better hiring decisions. Adopted by 3,000+ enterprises and processing 1.4M+ resumes, Moka Eva, our AI recruitment suite, delivers measurable performance transformation across the entire hiring lifecycle:

63% reduction in time-to-hire

95% on-time feedback compliance

87% evaluation consistency

Whether you’re scaling campus recruitment or hiring across multiple markets, MokaHR enables faster, smarter decisions with AI built into every step of the hiring process.

Below we examine how Eva achieves these outcomes at each critical stage.

Find Qualified Candidates Faster

Cross-platform sourcing and talent pool activation

Recruiters are under constant pressure to identify the right candidates quickly. Yet much of their time is spent switching between different sourcing platforms, while existing candidate databases remain under-leveraged due to a lack of intelligent activation tools. Moka Eva addresses both by applying advanced AI to expand recruiter reach and unlock underused talent pools.

• Cross-Channel Talent Discovery

Moka Eva expands recruitment reach through automated search and outreach across multiple sourcing channels. By analyzing job requirements and leveraging organizational hiring patterns, Moka Eva identifies and recommends qualified candidates early in the funnel—helping recruiters engage top talent faster and more efficiently.

• Intelligent Talent Pool Activation

Beyond external sourcing, Moka Eva helps teams unlock value from their existing candidate database. By learning from role requirements, historical hiring outcomes, and recruiter behavior, it builds role-specific fit models to score and rank past candidates by relevance and potential. This allows recruiters to reactivate overlooked profiles and reduce dependency on fresh sourcing.

By focusing AI on talent discovery rather than manual search, Moka Eva improves visibility across both external channels and internal resources—ensuring that no qualified candidate is missed.

Evaluate Resumes with Speed and Precision

AI-Powered Screening and Role-Based Matching

Screening large volumes of resumes is time-intensive—not just due to volume, but because recruiters must first interpret job requirements and evaluate each candidate’s relevance under pressure. Moka Eva solves this by applying AI to interpret job descriptions and assess candidate fit with speed and precision.

Moka Eva analyzes job descriptions to extract core hiring criteria—including required skills, experience levels, and role-specific priorities—and applies these to evaluate incoming resumes. Each candidate is scored for relevance and ranked accordingly, enabling recruiters to focus on the most promising profiles first.

Built for scalability, Moka Eva supports both day-to-day screening and high-volume recruitment needs with equal precision. By streamlining resume evaluation and highlighting top-fit candidates, it allows hiring teams to focus their efforts where it matters most—even under tight timelines and shifting hiring demands.

Structure Every Interview for Better Decisions

Customized Interview Questions, AI Summaries, and Interviewer Analysis

Interviews are often where hiring decisions are made—but they’re also one of the most inconsistent and intuition-driven stages in the process. Without a clear structure, interviewers may overlook key competencies, struggle with evaluation alignment, or delay feedback due to incomplete records.

Moka Eva brings clarity and consistency to every interview. From tailored questions to full-session transcription, and from structured summaries to one-click feedback, it captures and organizes key candidate signals throughout the process. This ensures every interview leaves a clear record, reduces information loss across interview rounds, and enables faster, more consistent feedback—helping teams make fairer and more confident hiring decisions.

• AI-Generated Interview Questions

Interview quality begins with the right questions. Yet many teams rely on generic templates or improvisation, especially when time is limited or when interviewers are unfamiliar with the role. Moka Eva automatically generates customized interview questions based on both the candidate’s resume and the job’s requirements. Each question is designed to probe technical capabilities, relevant experience, and behavioral traits—ensuring comprehensive and targeted assessment across dimensions that matter most. This reduces preparation time and promotes consistency in what is evaluated.

• AI-Powered Interview Summaries

When interviews are poorly documented, valuable signals are often lost. Moka Eva solves this with live transcription during the conversation, allowing interviewers to stay engaged without distraction. After the interview, the system generates structured summaries that surface the candidate’s strengths, concerns, and key decision points. With built-in one-click feedback tools, recruiters and hiring managers can review, comment, and move forward with confidence—minimizing back-and-forth delays and reducing decision lag.

• Interviewer Analysis and Evaluation Alignment

Effective hiring depends not only on candidate quality but also on the interviewer’s ability to evaluate the right competencies. Moka Eva applies a role-specific fit model, built using years of real-world hiring data combined with current job requirements, to assess how interviewers score and judge candidate fit.

By analyzing evaluation consistency and decision patterns, Moka Eva provides clear, actionable insights that help interviewers improve both the quality and fairness of their assessments. This enables organizations to develop a more aligned and capable interviewer team, raising the overall standard for hiring decisions.

Support Recruiters and Candidates at Scale

AI Recruiting Assistant and Candidate Chatbot

In fast-moving hiring environments, recruiters are expected to prepare thoroughly while candidates seek timely, personalized guidance. Moka Eva addresses both needs by providing intelligent support throughout the interview preparation and candidate engagement process.

• AI Assistance for Recruiters

The AI recruiting assistant helps recruiters navigate high-volume or multi-role hiring with greater speed and confidence. From job setup to interview preparation, Moka Eva provides intelligent support that reduces manual effort and improves decision-making. By automatically summarizing resumes, highlighting relevant experience, and generating tailored interview questions based on role requirements, it ensures that recruiters are well-prepared for every interview—streamlining complex workflows without added administrative burden.

• Conversational Support for Candidates

On the candidate side, Moka Eva offers a multilingual chatbot integrated into the company’s career site. Available around the clock, it responds to questions about roles, timelines, and company culture, and recommends suitable positions based on candidate backgrounds and interests. The interaction is designed to be both informative and human-like, helping companies deliver a more welcoming candidate experience while reinforcing their employer brand.

With global accessibility and scalable deployment, Moka Eva supports consistent communication and interview preparation—enhancing engagement, reducing uncertainty, and strengthening trust on both sides of the hiring process.

Proven Impact Across Industries

Moka Eva is trusted by over 3,000 organizations across the world. These teams are powered by Moka's AI capabilities to reduce time-to-shortlist, streamline evaluations, and improve hiring decisions at scale. The results reflect production-level impact, not pilot tests:

1.4 million resumes screened

400,000 interviews supported with AI

3 million candidate queries resolved in under 30 seconds

3× faster shortlisting cycles

95% on-time feedback rate

87% evaluation consistency across interviewers

These outcomes show how Moka Eva helps businesses stay competitive in fast-changing talent markets—by turning AI into measurable recruiting advantage.

Whether you’re hiring at scale or optimizing critical steps in your interview process, Moka Eva delivers the AI infrastructure to support faster, fairer, and more confident decisions.

FAQs

How much faster can we hire with Moka Eva?

Moka Eva delivers a 63% reduction in time-to-hire, 95% on-time feedback compliance, and 87% evaluation consistency, supported by real usage across 3,000+ enterprises and over 1.4 million resumes processed.

Can MokaHR integrate with our existing candidate database and sourcing channels?

Moka Eva expands recruitment reach through automated search across multiple sourcing channels while unlocking value from existing candidate databases. By learning from historical hiring outcomes and recruiter behavior, it builds role-specific fit models to score and rank past candidates, allowing recruiters to reactivate overlooked profiles. This reduces dependency on fresh sourcing while improving visibility across both external channels and internal resources.

Is there a candidate-facing chatbot and multilingual support?

Yes — the article describes a candidate-facing chatbot that offers 24/7 responses, personalized interactions, automated pre-screening, guided application steps, interview scheduling (with calendar integration) and AI job matching. The post does not explicitly mention multilingual support on that page — if you want, I can scan other MokaHR pages for language/localization details.

What makes MokaHR different from other AI recruiting tools in the market?

MokaHR delivers production-level impact, not pilot tests, with 1.4 million resumes screened and 400,000 interviews supported. Unlike single-point solutions, Moka Eva provides AI built into every step of the hiring process—from cross-platform sourcing and intelligent talent pool activation to AI-powered screening and structured interviews. The system also offers unique capabilities like reactivating overlooked profiles from existing databases and providing real-time interviewer coaching.