How MAEA Solves the Data Lifecycle Problem
Sizing a medical AI dataset is arithmetic. Keeping that dataset provable, versioned, and reusable across years of development is the part that fails, and it is what MAEA is built to hold together.
ModAstera participated in the Qualcomm AI Program for Innovators (QAIPI) 2025 APAC Demo Day in Seoul, showcasing our vision for secure, privacy-preserving medical AI and deepening collaboration within the global AI ecosystem.

By ModAstera
24 Dec 2025
December 5th, 2025. ModAstera had the opportunity to showcase our solution at the Qualcomm AI Program for Innovators (QAIPI) 2025 APAC Demo Day, held in Seoul, South Korea.
The Demo Day marked the culmination of approximately six months of mentorship and collaboration within the QAIPI program, bringing together 15 outstanding startups from Japan, Korea, and Singapore. We were honored to present alongside innovators working across robotics, computer vision, healthcare analytics, and smart city technologies—all demonstrating the real-world impact of on-device and edge AI.
For ModAstera, the program provided valuable technical guidance, access to advanced development platforms, and the opportunity to exchange insights with a diverse group of founders and engineers across the APAC region. Most importantly, it reinforced our belief that healthcare AI must be built with security, privacy, and real clinical constraints at its core.
We are deeply grateful to industry partners like Qualcomm for supporting our vision of enabling medical innovators to develop AI solutions that are both powerful and trustworthy. Initiatives like QAIPI play a critical role in bridging cutting-edge technology with real-world healthcare impact—especially in highly regulated environments where data protection and reliability are paramount.
Looking ahead, we plan to continue building on top of the Qualcomm ecosystem to deliver secure, private, and scalable AI assistance for medical researchers, clinicians, and healthtech companies worldwide. By combining advanced AI capabilities with responsible deployment, we aim to accelerate innovation while maintaining the trust required in healthcare.
We would also like to extend our sincere appreciation to Yvie Tai and the entire QAIPI team for their continuous support, guidance, and commitment throughout the program.
Qualcomm's Press Release: https://www.prnewswire.com/apac/news-releases/qualcomm-highlights-edge-ai-innovation-at-qualcomm-ai-program-for-innovators-qaipi-2025--apac-demo-day-and-sets-the-stage-for-2026-302635154.html
Sizing a medical AI dataset is arithmetic. Keeping that dataset provable, versioned, and reusable across years of development is the part that fails, and it is what MAEA is built to hold together.
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