Business
South Korea’s C&R Research Adopts AI-Driven Clinical Trial Infrastructure
Taimei Technology
and C&R Research
have entered into a strategic partnership to develop an AI-driven clinical trial operations platform aimed at improving efficiency, automation and data management in clinical research.
AI-powered clinical development platform company Taimei Technology and South Korean contract research organisation C&R Research have signed an enterprise-level strategic partnership agreement to jointly develop an artificial intelligence-based clinical trial operations system.
The collaboration aims to integrate Taimei Technology’s digital infrastructure and AI Agent ecosystem into multiple clinical trials managed by C&R Research. The partnership is expected to automate and streamline several aspects of clinical trial design, execution and operational management.
A major focus area of the collaboration will be clinical data management. The companies plan to actively implement the EDC (Electronic Data Capture) and iDM Agent combination to support intelligent data capture, governance and automated workflow optimisation.
According to the announcement, the system will introduce AI-driven electronic case report form (eCRF) generation and automated test case creation, helping improve both productivity and data quality in clinical research operations.
Taimei Technology said its AI capabilities are built on over 13 years of industry experience and global operations in clinical research technology. The company has developed a broad AI Agent matrix covering multiple stages of the clinical research lifecycle.
Its portfolio includes platforms such as eCollect (EDC), eBalance (RTSM), eCOA, eCooperate (CTMS), eArchives (eTMF), and AI tools including iDM Agent, iCTA Agent and iPV Agent, along with the iMAP intelligent medical analytics platform.
Industry observers believe the partnership reflects the growing use of AI and automation in global clinical research, particularly in improving trial efficiency, reducing manual processes and accelerating drug development timelines.
