How MokaHR is Transforming HR SaaS with Next-Gen AI Solutions

Cost Reduction and Efficiency Gains: How MokaHR is Leading HR SaaS with GenAI in Uncertain Times

In an era marked by economic uncertainty, cost reduction and efficiency gains have become essential objectives for every business. With the rise of Generative AI, it’s widely anticipated that large models will reshape every software product, driving companies to embrace AI for reduced costs and increased productivity. These large models are opening new avenues for industrial advancement while presenting complex challenges.

At the Moka Ascend 2024 product launch, HR SaaS provider Moka unveiled its latest Moka Workforce Efficiency Management Solution, featuring an upgraded, integrated approach. Additionally, Moka Eva is designed to expand the application of large models in HR, from intelligent interviewing to AI-powered recruitment, offering new pathways for digital transformation in human resources.

Optimizing Closed-Loop HR Systems for Efficiency and Cost Control

Moka’s co-founder and CEO, Li Guoxing, emphasized a growing shift in business management—from isolated problem-solving to proactive prevention. With uncertainty rising, companies are focusing on identifying business risks and trends early to explore new possibilities. According to Guoxing, cutting costs indiscriminately is ineffective. Instead, “cost control” is essential to balancing cost management with efficiency gains—a more rational approach for sustainable results.

Achieving this requires a clear grasp of performance metrics and expense control through an iterative closed-loop management system that fosters integrated collaboration. Moka’s product philosophy aligns the right technologies within functional loops, maximizing business value and ensuring that closed-loop management systems deliver tangible results.

Last year, Moka strengthened integration between Moka People and its recruitment services, building a comprehensive HR SaaS solution that serves managers, employees, and HR professionals, enhancing the user experience across the board. This year, Moka advanced this integration further by launching the Moka HR Efficiency Management Solution, establishing a robust closed-loop HR system.

Moka envisions that a complete closed-loop HR efficiency system should span from budget and cost control to HR performance improvements. This approach enables companies to maintain a comprehensive view of HR performance and ensures a continuous, circulating value in management processes. The closed-loop design embodies iterative thinking, supporting organizational reviews, process optimization, and incremental upgrades.

Moka People’s data-driven insights and visualization capabilities provide businesses with a clear understanding of workforce planning, expense allocation, and strategic decision-making. Offering a data-centered approach, the solution allows precise management at the departmental, cost center, and project group levels, with associated performance metrics. Its comprehensive breakdown of budgets, headcounts, recruitment needs, cost center management, and project work-hour tracking enables companies to manage budgets, labor costs, workforce size, and organizational goals effectively.

By incorporating functions such as budget and headcount adjustments, salary settings, and bulk salary changes, Moka ensures that HR operations align with budget management for proactive cost management.

Exploring the Boundaries of Large Models in HR

As one of the first HR SaaS providers to integrate AI back in 2018, Moka is a leader in adopting large models within the HR SaaS field. In June, Moka launched Moka Eva, an AI-native HR SaaS product powered by large models. Short for "Moka Evolution With AI," Moka Eva symbolizes Moka's commitment to fully embracing AI and setting a new standard in HR SaaS.

Moka Eva: Revolutionizing Recruitment with AI for Global Reach and Efficiency

To date, Moka Eva, Moka’s AI-native HR solution, has screened over 100,000 resumes, supported 20,000 interviews, and answered more than 3 million questions from employees. Over the past year, Moka Eva has continuously evolved, reaching end-to-end integration in interview and recruitment workflows. Committed to ongoing development, Moka plans to expand Eva’s capabilities from intelligent interviews to comprehensive AI-driven recruitment solutions. This dedication to closed-loop improvements has resulted in significant gains in efficiency and accuracy.

Liu Hongze, Moka’s partner and CTO, emphasizes that being "AI-native" involves reimagining and enhancing varied industry scenarios. Moka’s strategy for AI-driven HR transformation includes developing a prompt system, creating secure frameworks, and establishing a model integration and testing platform. Central to this innovation is embedding Moka’s industry and business insights within large models, increasing both model accuracy and operational efficiency. Moka’s platform enables seamless model management, offering clients a robust, ready-to-use intelligent HR SaaS solution.

For instance, in interview settings, Moka Eva’s intelligent interview solution customizes questions, generates interview summaries, and suggests follow-up questions, driving data-informed reviews and continuous improvement. Many HR professionals appreciate how Moka Eva’s resume screening and intelligent interviewing streamline repetitive tasks, enabling HR teams to focus on higher-priority responsibilities while retaining decision-making control.

Liu notes that, today, companies evaluating HR SaaS prioritize more than just functionality and performance; they value continuous innovation, strategic AI integration, industry expertise, and rigorous data security and privacy protocols.

Moka has also expanded internationally, launching a data center in Singapore to support its global growth strategy. The newly introduced SmartPractice feature integrates best practices in recruitment from various regions, adapting automatically to regional regulations and offering content templates. This efficient, compliant global recruitment solution helps HR teams source top talent worldwide, increasing both efficiency and hiring quality.

Unleashing the Real-World Potential of Large Models: Every Step Matters

Liu believes that large model technology is transformative, offering essential support to the HR SaaS industry at a pivotal time. Moka is fully committed to bringing meaningful value to the sector. As large models develop foundational capabilities, Moka’s expertise in fine-tuning and model training opens doors to new applications, building a wealth of data and case studies. This high-quality data enriches model performance, creating a virtuous cycle that drives continuous improvements in both accuracy and efficiency.

He emphasizes that building strong technical and product differentiation in the era of large models is closely tied to “first-mover advantage.” Currently, the industry has only a broad understanding of large model potential, and fully harnessing this technology is a significant challenge. Therefore, each investment in large model application is crucial.

Looking ahead, Moka will maintain investments in infrastructure, enhancing its product, and advancing ecosystem openness and integration capabilities. This approach will lay a strong foundation to support sustained growth for each client.