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AI Deep Learning Applications

Use Large Language Model (LLM) to create an onsite enterprise internal data management, enabling the systematic management and preservation of corporate intangible assets - knowledge and experience.

Use Large Language Model (LLM) to create an onsite enterprise internal data management, enabling the systematic management and preservation of corporate intangible assets - knowledge and experience.

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LLM Application

Using large language models in enterprise internal systems, RAG is like equipping AI with a "dedicated cloud bookshelf," allowing it to first browse your company’s internal private documents, technical manuals, or contract details before answering questions.

Unlike regular ChatGPT, which can only rely on memory to "guess" answers, AI precisely identifies the correct data fragments and then synthesizes them, not only solving the problem of AI hallucinations, but also ensuring that every response is well-founded, transforming AI into a professional digital assistant that truly understands your company’s business and keeps information confidential.

Current Market Outlook

Many enterprises restrict the use of public AI tools, and 97% of AI data leaks come from a lack of control mechanisms. Some countries have already established regulations in preparation to restrict the use of AI in data and information. (Japan implemented the AI Regulatory Act in June 2025, and Europe will implement the Artificial Intelligence Act in August 2026.)
AI used in enterprises must be private, controllable, and auditable.

Our Advantage

Fully private AI (not cloud SaaS)

  • ✔ Fully on-premises deployment

  • ✔ Supports ultra-long text (350k context)

  • ✔ Multimodal visual integration (no reliance on third-party APIs)

  • ✔ Predictable costs

What enterprises need is not just “more powerful AI,” but “AI that is more trustworthy.”

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Application field validation

Patent Intellectual Property

Patent Intellectual Property

Resolve the current bottleneck of insufficient manpower and the risk of errors from manual comparison, enabling the company to increase capacity and avoid situations where there are cases but no way to take them on.

  1. Contract review from an average of 92 minutes per case → less than 5 minutes

  2. Monthly average capacity of 5-8 cases → 15-20 cases

ISO standards for manufacturing

ISO standards for manufacturing

Solve the problem of a large number of existing ISO standards being spread out over various documents, which requires manual review, comparison, and drafting, making the process labor-intensive and time-consuming.