Use engineering knowledge to improve design quality

DC Agentiqs lets AI automatically analyze and deeply understand even huge volumes of specialized documents.
It can instantly extract and summarize the information you need, dramatically improving your work efficiency.
It delivers a new kind of value: an intuitive grasp of what a document is really about, right on site.

scenario1

Summarize huge manuals and specifications,
and surface the key points

You can work efficiently by brainstorming with an agent that extracts and summarizes just the parts you need from the various documents used in development — organization-specific modeling rules, SoC manuals, communication standards, middleware specifications, and more.


実行の流れ

  • Register the manuals as RAG
  • Create an agent that answers questions about the manuals
  • The user asks questions through chat
  • The agent summarizes and answers with pinpoint accuracy

scenario2

Turn existing deliverables into knowledge
so new members can get started right away

Use RAG to extract and explain only the information you need for the task from a large codebase.


実行の流れ

  • Register existing deliverables as RAG
  • Create an agent that answers questions about existing deliverables
  • The user asks about anything unclear through chat
  • The agent summarizes the relevant information and answers

scenario3

Reflect updates to the source document with one click,
and run large-scale knowledge seamlessly with differential updates

Whenever the source document is updated, you can differentially update the knowledge database with a single click, keeping even large volumes of data running smoothly.


実行の流れ

  • Register existing deliverables as RAG
  • The user asks about anything unclear through chat
  • Update the knowledge differentially with a single button
  • scenario1

    Summarize huge manuals and specifications,
    and surface the key points

    You can work efficiently by brainstorming with an agent that extracts and summarizes just the parts you need from the various documents used in development — organization-specific modeling rules, SoC manuals, communication standards, middleware specifications, and more.


    実行の流れ

    • Register the manuals as RAG
    • Create an agent that answers questions about the manuals
    • The user asks questions through chat
    • The agent summarizes and answers with pinpoint accuracy
  • scenario2

    Turn existing deliverables into knowledge
    so new members can get started right away

    Use RAG to extract and explain only the information you need for the task from a large codebase.


    実行の流れ

    • Register existing deliverables as RAG
    • Create an agent that answers questions about existing deliverables
    • The user asks about anything unclear through chat
    • The agent summarizes the relevant information and answers
  • scenario3

    Reflect updates to the source document with one click,
    and run large-scale knowledge seamlessly with differential updates

    Whenever the source document is updated, you can differentially update the knowledge database with a single click, keeping even large volumes of data running smoothly.


    実行の流れ

    • Register existing deliverables as RAG
    • The user asks about anything unclear through chat
    • Update the knowledge differentially with a single button

Benefits of this use case

Dramatically reduced work time

Document analysis that used to take hours now finishes in minutes

Democratized knowledge

Advanced document understanding is possible even without specialized knowledge
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