Need AI Development or Sponsor Exposure?

We help companies build AI systems and reach AI readers.

AI Development Become Sponsor

Cybozu Accelerates AI Integration with kintone at Cybozu Days 2024

On November 7-8, 2024, Cybozu hosted its annual event, “Cybozu Days 2024,” at Makuhari Messe. During the keynote, President Yoshihisa Aono highlighted the company’s latest developments and a strategic shift towards generative AI integration.

Aono reported that kintone’s adoption has surpassed 37,000 companies, with Cybozu Office at 80,000, Garoon at 7,000, and Mailwise at 15,000. He also noted that Cybozu achieved top rankings in both customer and partner satisfaction surveys by Nikkei Computer, emphasizing a commitment to continuous product improvement.

Executive Officer and Development Director Teppei Sato discussed kintone’s growth, noting that 650 new companies adopt the platform monthly, creating approximately 100,000 new applications each month. The platform undergoes about 1.8 million configuration changes monthly, reflecting active user engagement in business process optimization. Release frequency has increased to approximately 120 updates per year, introducing features like process management flow visualization and formula auto-completion.

Under the “Cybozu NEXT” initiative, kintone is integrating with groupware functionalities. Developments include the “Email Sharing Option,” schedule integration with Cybozu Office, and the forthcoming kintone Groupware Plugin.

Asuka Yamada, Deputy Director of Marketing Strategy, introduced the “kintone AI Assistant” (tentative name), aiming to enhance data utilization and support application development and operations. This feature leverages AI to search within kintone and generate appropriate responses to user inquiries, with a limited beta release planned for January 2025.

For enterprise users, Cybozu has released the “Wide Course” license, enhancing portal and process management, and plans to introduce application analysis features. Additionally, a performance dashboard is in development to identify and address performance issues, and efforts are underway to enable external system data integration within kintone.

Chisato Matsumori, Head of Enterprise Sales, reported that 32% of domestic enterprise companies have adopted kintone, utilizing it as an information platform across multiple departments. A case study highlighted Mitsubishi Heavy Industries’ use of kintone across global offices to streamline operations.

Related Posts

Comparison of Major Companies’ Computer Use Agents

A Practical Enterprise Adoption Guide for Spring 2026: Can AI Become a “Coworker That Operates the Screen”? In spring 2026, the AI market is rapidly shifting beyond simple chatbots toward AI agents that can look at a web browser or…

GPT-5.4 and the March 2026 ChatGPT Upgrade Cycle: Official Release, Media Narratives, and Real-World Reactions

Introduction On March 5, 2026 (US time), OpenAI released GPT-5.4 across three surfaces at once: ChatGPT (as “GPT-5.4 Thinking”), the OpenAI API (as gpt-5.4), and Codex. In the same rollout, OpenAI also introduced a higher-end variant, GPT-5.4 Pro (gpt-5.4-pro), positioned for maximum performance…

You Missed

Corpus2Skill — New Standard of Knowledge Architecture for the LLM Era

Corpus2Skill — New Standard of Knowledge Architecture for the LLM Era

The End of Hierarchy, the Rise of Intelligence: How “Company Brain” and “AI OS” Are Rewriting the Future of Organization

The End of Hierarchy, the Rise of Intelligence: How “Company Brain” and “AI OS” Are Rewriting the Future of Organization

The Rise of the Forward Deployed Engineer: Bridging the High-Stakes Chasm Between AI Theory and Execution

The Rise of the Forward Deployed Engineer: Bridging the High-Stakes Chasm Between AI Theory and Execution

Integrated AI After the LLM Boom

Integrated AI After the LLM Boom

Andrej Karpathy’s latest concept ‘LLM Wiki’ and the future of enterprise knowledge

Andrej Karpathy’s latest concept ‘LLM Wiki’ and the future of enterprise knowledge

How to Build Enterprise AI

How to Build Enterprise AI

AI Developments in April 2026

AI Developments in April 2026

The Rise of the Context Layer: Why AI Agents Need More Than Data

The Rise of the Context Layer: Why AI Agents Need More Than Data

Comparison of Major Companies’ Computer Use Agents

Comparison of Major Companies’ Computer Use Agents

GPT-5.5 Is Real, Powerful, and Expensive — but OpenAI’s Biggest Story Is the Race to Own Enterprise AI Work

GPT-5.5 Is Real, Powerful, and Expensive — but OpenAI’s Biggest Story Is the Race to Own Enterprise AI Work

Claude Mythos and the New Cybersecurity Balance

Claude Mythos and the New Cybersecurity Balance

AI News Briefing for April 13–20, 2026

AI News Briefing for April 13–20, 2026

Current Research Trends in Latent Space

Current Research Trends in Latent Space

AI Patents from Google Patents Search

AI Patents from Google Patents Search

AI Articles from IEEE Xplore

AI Articles from IEEE Xplore

AI articles from OpenAlex

AI articles from OpenAlex

AI News from NewsAPI

AI News from NewsAPI

AI News from Google News

AI News from Google News

Idea of New AI services

Idea of New AI services

Problem to use AI services

Problem to use AI services

AI Services Market Structure 2026

AI Services Market Structure 2026

Why Conceptual Investigation?

Why Conceptual Investigation?

AI Development in March 2026

AI Development in March 2026

GPT-5.4 and the March 2026 ChatGPT Upgrade Cycle: Official Release, Media Narratives, and Real-World Reactions

GPT-5.4 and the March 2026 ChatGPT Upgrade Cycle: Official Release, Media Narratives, and Real-World Reactions

AI Agent Startups Trends 2023–2026

AI Agent Startups Trends 2023–2026
Need AI solutions or sponsorship opportunities? Get in touch