20 of 260 Japanese-language candidates. Sources are a hand-picked whitelist, the ordering comes from model scoring, and the bar is whether it is useful to someone building AI in Japan — each entry says why we picked it. Most of this exists only in Japanese and never surfaces in English-language feeds.
Multiple Japanese companies have reported possible information exposure following an incident involving a suspected leak of chat records from Notion AI, the AI feature of cloud workspace Notion.
Why choose itTeams in Japan should promptly review sensitive records in Notion AI for potential data exposure.
03 ELEMENTS Launches Kurabe(クラベ) AI Leaderboard for Japanese Business Tasks
ELEMENTS、国内業務向けAIリーダーボード「Kurabe(クラベ)」のサービス提供開始
CompanyPR TIMES
ELEMENTS, a provider of identity verification and domain-specific AI solutions, has launched Kurabe(クラベ), an AI leaderboard for Japanese business tasks.
Why choose itA new model leaderboard focused on Japanese business use cases can help teams shortlist models for local projects.
サイボウズ has established a core strategy for the AI era, anticipating an industrial structure built around AI and developing offerings aligned with that strategy.
Why choose itAI agents are coming to a major Japanese business platform, making this worth evaluating for integration and client delivery.
エキサイト株式会社 added credential transmission blocking for Claude Code and Codex to SEKIMORI, its service for managing AI adoption, AI spending and information leakage risks.
Why choose itNew credential-leak prevention features for coding agents are worth testing in your development workflow.
Hubble launched MCP integration to securely connect external AI agents with internal data. It synchronizes access permissions to support data use across contracts, sales discussions and billing.
Why choose itOfficial support for MCP permission syncing could help Japanese enterprises connect internal data to AI systems.
10 Is AI-Generated kintone Code Safe to Use As Is? Free Diagnostic Service Launches
AIに書かせたkintoneのコード、そのまま使って大丈夫? 無料診断の提供始まる
MediaITmedia AI+
kintone supports flexible customization for business needs. However, AI-generated code and third-party plugins may contain embedded API keys or vulnerabilities that functional testing alone may not detect.
Why choose itA free assessment can help identify exposed secrets and security vulnerabilities in code generated for kintone.
11 marutto Unveils marutto AI HUB Connecting Different Users’ AI Agents; Team Leaders Coordinate Development With Human Decisions Roughly Every Four Exchanges
AI エージェントのチームリーダー同士が会話して開発を進め、約 4 回のやり取りに 1 回だけ人が判断。別々の人の AI エージェントをつなぐ自社プロダクト「marutto AI HUB」を発表
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Published by marutto株式会社.
Why choose itA new multi-agent collaboration product from a Japanese company is worth evaluating for team development workflows.
12 Why NVIDIA’s Nemotron AI Models Can Quickly Deliver Japanese Synthetic Datasets
NVIDIAのAIモデル「Nemotron」が日本語合成データセットを素早く投入できる理由
MediaITmedia AI+
At NVIDIA Agentic AI Day Japan 2026 in Tokyo, NVIDIA presented two synthetic datasets supporting Japanese-language AI development: Nemotron-Personas-Finance-Japan and Nemotron-PII-Japan.
Why choose itJapanese-language synthetic data covering finance and privacy scenarios could support local model development and evaluation.
16 Third AI 生成AIソリューション Adds Support for Gemini 4 Carbon for Complex Reasoning Tasks
「Third AI 生成AIソリューション」、最新モデル「Gemini 4 Carbon」に対応~最先端の精度で、高度な推論を要する複雑な課題への活用を支援~
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JTP株式会社, provider of the Third AI integration service, announced an update on November 12, 2026, concerning Third AI 生成AIソリューション, which supports business adoption of generative AI.
Why choose itNew models in a Japanese enterprise AI service are worth testing for potential integration.