U-Link Launches "SomonQA," an AI-Powered System for Automatic Generation and Centralized Management of Shareholder Meeting Q&A

U-Link Co., Ltd. has launched "SomonQA," an AI-powered system designed to efficiently create and manage anticipated questions and answers for shareholder meetings. The system automates the drafting of questions and answers based on keyword input and provides supporting documents, streamlining the Q&A preparation process. It also supports cross-departmental centralized management, approval workflows, and search functions for progress tracking and historical record-keeping.
product_launchNQ 47/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 2, 2026 at 23:55
  • 🔍 Collected: April 2, 2026 at 19:37
  • 🤖 AI Analyzed: April 15, 2026 at 23:56 (316h 18m after Collected)
SomonQA is a system that utilizes AI to efficiently create and manage anticipated questions and answers for shareholder meetings. By inputting keywords, it automatically generates drafts of questions and answers and presents supporting documents, thereby streamlining the Q&A creation process. Cross-departmental centralized management, approval workflows, and search functions enable progress management and historical tracking of anticipated Q&A. By accumulating and utilizing past Q&A data, it supports the efficiency of annual general meeting preparations and year-round IR/SR activities.

■ Inquiries regarding this matter
U-Link Co., Ltd.
Shareholder Meeting Support Division, Contact: Takagi, Okutani
TEL: 03-5606-6600
E-mail: sales@u-link.co.jp

FAQ

What is SomonQA?

SomonQA is an AI-powered system designed to efficiently create and manage anticipated questions and answers for shareholder meetings. It automatically generates Q&A drafts based on keyword input and provides supporting documents.

What are the main features of SomonQA?

Key features include AI-driven Q&A generation, cross-departmental centralized management, approval workflows, search functions, and support for IR/SR activities through the accumulation and utilization of past data.