AI & Product Data

A short summary of our work on patent #11,977,821

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Patent 11,977,821, issued on May 7, 2024, to The Canoa Supply Company PBC, introduces an AI-powered system for personalized object recommendations and automated space planning in computer-aided design (CAD) environments. Inventors Margaret Marsh, Walter Federico Negro, Joshua Emig, and Nicolas Chaulet have created a platform that simplifies and enhances space design by integrating the following features:

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• Personalized Object Recommendations inside a CAD application:
  • Based on user preferences and third-party data, the system generates a customized list of objects tailored to specific design needs.
• Personalized Object Arrangements:
  • Machine learning models and rules-based systems automatically arrange objects within a virtual space, optimizing their placement according to spatial relationships, functionality, and aesthetics.
• Integrated Object Selection and Layout:
  • The system combines object selection and layout generation, offering real-time, user-specific suggestions for both the items and their arrangement within the design environment.

This patent marks an advance in generative space planning by automating much of the decision-making process in CAD, enabling users to create more personalized and efficient layouts.For more details, you can view the full patent here: Patent 11,977,821 on Justia