Case Study: Building a Smart AI Caregiving Service with CloverCareCall for Seniors in Korea

Client: CloverCareCall
Partners: Naver Cloud, SK 행복 ICT
Domain: AI 돌봄 서비스 (AI-based elderly care support)
Objective: To develop a conversational AI capable of emotionally intelligent, safe, and context-aware interaction tailored for elderly users in Korea.

The Challenge:

Korea is facing a rapidly aging population and increasing demand for non-human caregiving solutions, particularly in regions with limited access to in-person support. CloverCareCall set out to build an AI-powered assistant that could supplement care for elderly individuals through natural, engaging, and empathetic conversation.

The technical hurdle? Building an AI system that goes beyond basic response generation — one that can reason, emote, and interact in Korean, within the sensitive contexts of health, safety, and daily living.

Our Role:

IndexAI was selected to support the data development component of this ambitious AI caregiving project, working in close collaboration with Naver Cloud and SK 행복 ICT.

We focused on creating high-quality, domain-specific training data to shape the assistant’s ability to:

• Understand nuanced emotional cues

• Reason through multi-turn, real-world caregiving scenarios

• Respond safely and inclusively to vulnerable populations

Data Development Strategy:

To build a model capable of responsible, meaningful interactions, our team developed a suite of customized data pipelines. We managed and oversaw the entire lifecycle of data creation — from prompt design to annotation validation — working alongside healthcare and welfare domain experts to ensure contextual and cultural relevance.

Key data categories included:

• Emotionally sensitive response generation:
  Scenarios where the assistant must recognize and respond with empathy — e.g., to loneliness, confusion, or signs of distress.

• Chain-of-thought reasoning for caregiving:
  Multi-turn conversation flows where the AI must perform inference (e.g., recognizing medication-related cues, safety checks, or behavioral trends).

• Healthcare and welfare domain language in Korean:
  Natural Korean dialogue with terminology relevant to elderly care, compliant with public health expectations.

We also implemented strict QA protocols to ensure that all data was appropriate for use with sensitive populations.

The Impact:

• Enhanced AI reasoning and emotional intelligence:
  The final AI assistant demonstrated improved ability to follow context across multiple conversational turns and adjust tone and content based on user needs.

• Pilot deployment via Naver Cloud infrastructure:
  The solution has already been rolled out in several pilot regions across Korea, delivering tangible support to elderly users.

• Alignment with public service standards:
  The assistant’s interaction style was shaped to reflect the expectations of Korea’s public sector — emphasizing safety, inclusivity, and accessibility.

Looking Ahead:

As Korea advances its digital welfare initiatives, the success of this project provides a blueprint for AI integration in human-centric public services. IndexAI will continue to partner with leading organizations to expand the reach and impact of socially responsible AI across sectors like health, caregiving, and education.