Trans-N K.K. ( “Trans-N”) has officially launched N-Cube, a hardware-integrated AI platform.

This product boasts overwhelming performance, supporting not only in-memory inference of large language models (LLMs) but also additional training using proprietary enterprise data.

N-Cube comes pre-installed with a suite of applications, including:

• N-Note, an on-premise AI meeting assistant supervised by strategy consultants;
• N-Chat, an AI chatbot that supports advanced open-source LLMs such as Gemma, Qwen, and Deepseek;
• N-Translate, a powerful tool for real-time subtitle and long-form translation.

These tools enable integrated management and operation—from enterprise knowledge capture to incremental model fine-tuning—without needing internet access.

Going forward, new features will be added regularly through N-Cube’s internal marketplace.

N-Cube learns from proprietary enterprise data and evolves continuously, embedding itself into the organization as a “digital employee.” In doing so, it accelerates the shift toward becoming an AI-native organization—far beyond simple operational efficiency.

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About AI-Native Organizations

Just as digital-native companies once disrupted legacy industries in the early internet era, companies that fail to adopt AI-native practices today risk losing their competitiveness.

An AI-native organization is one that rebuilds its business model around AI—not just for efficiency, but to create entirely new value. Merely integrating AI into existing operations is no longer sufficient to stay ahead.

For example, Singapore has already implemented a government-led AI Sovereign Cloud infrastructure. In this environment, AI autonomously manages systems and operations in real time, enabling immediate, data-driven decisions without human intervention. Public services are also powered by AI, allowing inquiries and administrative tasks to be handled instantly—delivering speed and accuracy once unimaginable.

In the face of such AI-native innovation, organizations that delay transformation risk falling behind. Committing to AI as a core part of business strategy is now essential for survival and growth.

Key Characteristics of an AI-Native Organization:

1. Appoint a Chief AI Officer (CAIO) with founder-level authority. This ensures AI is placed at the heart of business strategy, not as a side project, and drives accountability and momentum at the highest level.
2. Adopt AI-specific KPIs beyond operational efficiency. Instead of focusing solely on cost reduction, evaluate AI’s contribution to product innovation, user experience, and strategic differentiation.
3. Build proprietary AI using internal data and expertise, avoiding dependency on external APIs. Unique enterprise knowledge becomes a moat for sustainable competitive advantage, while also protecting intellectual property and organizational know-how.

Trans-N supports organizations in adopting AI-native practices, embedding AI into decision-making and operations in a deeply integrated way.

The newly released N-Cube will serve as a “digital employee”—joining your company and growing alongside your team. It enables enterprises not just to utilize AI, but to lead the transformation toward AI-native business.

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Overview of N-Cube:

1. Hardware-Software Integration Built on seamless, high-performance hardware, N-Cube runs advanced LLMs like Gemma, Qwen, and Deepseek smoothly in offline or LAN environments—ideal for enterprises prioritizing data security and compliance.
2. In-Memory Inference with Top-Tier Specs Instantly references pre-trained open-source LLMs for real-time inference, powering accurate chatbots, meeting assistants, and translation tools directly within the enterprise.
3. Easy Deployment of Trainable AI Supports SFT (Supervised Fine-Tuning) and RL (Reinforcement Learning), allowing users to provide training data and feedback through an intuitive UI. As usage increases, the AI evolves to reflect organizational knowledge and writing style.
4. Pre-Installed Solutions
   • N-Note: A strategic meeting assistant with consultant-supervised summarization and model adaptation.
   • N-Chat: A chatbot that runs open-source LLMs without risk of external data leakage.
   • N-Translate: A real-time and long-form translation tool, customizable with in-platform terminology settings.
5. Expandable Platform N-Cube supports additional AI apps beyond its initial features, including due diligence agents, performance review tools, sales assistants, and fine-tuning utilities. The hardware and platform support FOTA (Firmware Over-The-Air), ensuring rapid deployment of verified LLMs and system updates from Trans-N.

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Future Outlook

Trans-N will continue expanding N-Cube with powerful features designed to support businesses becoming AI-native organizations. New tools for due diligence, HR evaluation, sales support, and fine-tuning will be released through the N-Cube marketplace.

Welcoming AI as a “digital employee”—one that evolves with your company and reflects your values—is key to next-generation business transformation. With N-Cube and its growing ecosystem, Trans-N empowers forward-thinking enterprises to stay ahead of the curve and lead their industries into the AI-native era.