FEATURE: Balancing Efficiency and Quality with AI-Powered Design Support

Through seamless AI integration with our proprietary "DC Agentiqs" (*)—an AI agent platform that supports engineers across all engineering disciplines—we provide powerful support for tasks that previously relied on experts, such as design leveraging on-site insights, design reviews aligned with specific criteria, and domain-specific profile definitions.
The UI integrated into Next Design enables users to receive AI assistance in various design scenarios, helping to accelerate the entire design process and improve quality.

(*) DC Agentiqs is an AI agent platform designed to enable the practical use of AI in development environments. Our "field-specific agents" seamlessly integrate with the development tools used on-site and create deliverables just like human engineers, drawing on site-specific knowledge and past work. ( For more details, visit our product website.)

  • Seamless AI Integration Through UI Integration

    By integrating the DC Agentiqs chat window into the Next Design UI, you can seamlessly leverage AI without having to switch between tools during your daily design work.

    The model the user is currently editing is automatically recognized as context through the AI integration feature. If there is a specific model you want the AI to reference, simply add it via drag-and-drop to receive more accurate AI design assistance.

  • Using AI to support design and review

    By importing existing design documents and requirements specifications, the AI automatically generates models such as use cases, scenarios, and test cases, enabling you to move swiftly from design exploration to test design.

    Next Design performs a comprehensive review of design data in accordance with review criteria and mandatory requirements, identifying omissions and inconsistencies to minimize oversights during design reviews and drive quality improvement.

  • AI also supports profile definitions

    By leveraging AI to assist in reviewing design elements within the metamodel and incorporating them into view definitions, we can lower the barrier to profile definition—which previously relied on experts—and enable the efficient definition of domain-specific profiles.