Code Comply.ai, Corp.

United States of America

Back to Profile

1-3 of 3 for Code Comply.ai, Corp. Sort by
Query
Aggregations
IPC Class
E04B 1/00 - Constructions in generalStructures which are not restricted either to walls, e.g. partitions, or floors or ceilings or roofs 3
G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads 3
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model 3
G06N 20/00 - Machine learning 3
G06Q 30/018 - Certifying business or products 3
See more
Found results for  patents

1.

AUTOMATED WATER CLOSET COMPLIANCE ANALYSIS WITH INTERACTIVE USER FEEDBACK

      
Application Number US2024044858
Publication Number 2025/050035
Status In Force
Filing Date 2024-08-30
Publication Date 2025-03-06
Owner CODE COMPLY.AI, CORP. (USA)
Inventor
  • Sheehan, Michael
  • Foley, Matthew
  • Murphy, Patrick
  • Maghzal, Johnny

Abstract

Methods and apparatus operative for analyzing water closet compliance with relevant building codes using artificial intelligence (AI). The system involves receiving design plans and representing them as dynamic components, which include various fixtures and architectural elements. Each dynamic component may include a parameter that is changeable via an interactive user interface. An AI engine identifies water closet areas, ascertains design parameters, and compares them against a set of compliance conditions. The AI engine can simulate various scenarios, such as wheelchair accessibility, and evaluate multiple design parameters like height, distance, size, and placement of fixtures. The interactive user interface allows users to view compliance status and receive automated suggestions for non-compliant features. The AI determines clearances within a water closet and assesses compliance with codes such as the Americans with Disabilities Act. Additionally, the AI provides recommendations to correct any code violations identified.

IPC Classes  ?

  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • E04B 1/00 - Constructions in generalStructures which are not restricted either to walls, e.g. partitions, or floors or ceilings or roofs
  • G06F 30/20 - Design optimisation, verification or simulation
  • G06V 30/422 - Technical drawingsGeographical maps
  • G06Q 30/018 - Certifying business or products
  • G06N 20/00 - Machine learning

2.

AUTOMATED PLUMBING CODE COMPLIANCE ANALYSIS WITH INTERACTIVE USER INPUT

      
Application Number US2024044868
Publication Number 2025/050043
Status In Force
Filing Date 2024-08-30
Publication Date 2025-03-06
Owner CODE COMPLY.AI, CORP. (USA)
Inventor
  • Sheehan, Michael
  • Foley, Matthew
  • Murphy, Patrick
  • Maghzal, Johnny

Abstract

Methods and apparatus are provided for automated analysis and verification of plumbing code compliance in architectural design plans using artificial intelligence (AI). The system analyzes design plans, such as floor plans or architectural drawings, to identify, classify, and evaluate the placement, type, and number of plumbing fixtures, including water closets, sinks, and showers. The AI engine assesses these fixtures against applicable building and plumbing codes, evaluating spatial relationships, clearances, and pipe configurations. Where non-compliance is detected, the system offers automated suggestions for design revisions and optimizations, providing code adherence and functional efficiency before construction begins. The apparatus includes interactive tools for real-time simulation and collaboration, enabling designers, architects, and code compliance officers to make informed adjustments to the design.

IPC Classes  ?

  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • E04B 1/00 - Constructions in generalStructures which are not restricted either to walls, e.g. partitions, or floors or ceilings or roofs
  • G06V 30/422 - Technical drawingsGeographical maps
  • G06Q 30/018 - Certifying business or products
  • G06N 20/00 - Machine learning

3.

ARTIFICIAL INTELLIGENCE DETERMINATION OF BUILDING CODE COMPLIANCE RELATING TO WHEEL CHAIR TURNING CLEARANCE

      
Application Number US2024044877
Publication Number 2025/050051
Status In Force
Filing Date 2024-08-30
Publication Date 2025-03-06
Owner CODE COMPLY.AI, CORP. (USA)
Inventor
  • Sheehan, Michael
  • Foley, Matthew
  • Murphy, Patrick
  • Maghzal, Johnny

Abstract

Methods and apparatus operative to analyze wheelchair turning clearance within building design plans are disclosed. The invention utilizes artificial intelligence (AI) to convert design plans into dynamic components representing structural elements and fixtures. A controller identifies critical wheelchair turning points, calculates turning radii, and compares them against compliance conditions specified by relevant building codes. The system includes an interactive user interface that allows users to view, modify, and interact with design components in real-time. The AI engine simulates wheelchair navigation, predicts occupancy loads, and evaluates surface conditions to determine safe and accessible routes, particularly to points of egress. The apparatus further provides visual indicators of compliance and suggests modifications for non-compliant areas.

IPC Classes  ?

  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G01B 5/14 - Measuring arrangements characterised by the use of mechanical techniques for measuring distance or clearance between spaced objects or spaced apertures
  • G01B 5/08 - Measuring arrangements characterised by the use of mechanical techniques for measuring diameters
  • E04B 1/00 - Constructions in generalStructures which are not restricted either to walls, e.g. partitions, or floors or ceilings or roofs
  • G06V 30/422 - Technical drawingsGeographical maps
  • G06Q 30/018 - Certifying business or products
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/20 - Design optimisation, verification or simulation
  • G06N 20/00 - Machine learning