Moka AI Reports Moka Eva Deployment Results
Analysis based on 9 articles · First reported Jul 20, 2026 · Last updated Aug 14, 2026
The announcement highlights Moka AI's AI recruiting agent's efficiency gains, potentially boosting its competitive position in the HR technology market. It may also influence investor sentiment toward AI-driven HR solutions, though the impact is limited to the niche recruiting software sector.
Moka AI (formerly MokaHR), an AI-powered applicant tracking system and recruiting platform, released deployment results for its AI recruiting agent, Moka Eva. At a leading international coffee and tea chain with more than 20,000 locations, Moka Eva reduced per-store time-to-hire from 15.4 to 3.8 days, cut cost per application by 60%, and reduced manual intervention by over 80% compared with the pre-AI process. Moka Eva uses a unified rubric for screening and interviews, achieving consistency with human reviewers more than 92% of the time. To date, Moka Eva has screened over 5 million resumes and assisted in over 600,000 interviews, supporting more than 10 languages. The agent also demonstrated results for a global sportswear retailer in Southeast Asia, saving 685 hours per month by operating over Meta Platforms — WhatsApp. Moka AI's CEO Guoxing Li emphasized the importance of applying one standard across locations to make outcomes measurable. The announcement comes amid broader AI adoption in Asia-Pacific, with Aon (company)'s study showing 74% of organizations deploying or piloting AI, while KPMG's survey found 55% of companies delayed or scaled back AI agent rollouts due to cost concerns.
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