Patents Assigned to CodeComply.Ai, Corp.
  • Publication number: 20250209223
    Abstract: Methods and systems employing artificial intelligence for efficient data extraction and analysis for a user-defined design plan segmentation. The method enables users to select specific segments within two-dimensional design plans, thereby triggering an AI engine to execute pixel-pattern analysis on the chosen segments. This process facilitates the extraction of comprehensive data related to code set forth by an authority having jurisdiction. Additionally, the invention includes methods for component searching within the design plans using symbols or polygon shapes selected by users, involving pixel-level analysis to identify matching dynamic components within the design plans.
    Type: Application
    Filed: December 19, 2024
    Publication date: June 26, 2025
    Applicant: CodeComply.Ai, Corp.
    Inventors: Matthew Foley, Michael Sheehan, Patrick E. Murphy, Johnny Maghzal
  • Publication number: 20250124198
    Abstract: Apparatus operative to efficiently manage smoke aspects of a design plan. and smoke control practices. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI may determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes relating to smoke control and fire safety.
    Type: Application
    Filed: December 23, 2024
    Publication date: April 17, 2025
    Applicant: CodeComply.Ai, Corp.
    Inventors: Matthew Foley, Michael Sheehan, Patrick E Murphy, Johnny Maghzal
  • Publication number: 20240119201
    Abstract: Methods and apparatus operative to quantify building metrics using artificial intelligence analysis of a design plan and apply the quantified building metrics to smoke control practices. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI may determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes relating to smoke control and fire safety.
    Type: Application
    Filed: November 14, 2023
    Publication date: April 11, 2024
    Applicant: CodeComply.Ai, Corp.
    Inventors: Matthew Foley, Michael Sheehan, Patrick E Murphy, Johnny Maghzal