CodeComply.Ai allows you to identify non-compliant designs and solutions by combining code consulting expertise and the deep machine learning discipline
Plan reviews require experts to manually identify and measure elements of a building, including the length of walls, the width of doors, and the area of rooms. After these measurements are recorded, the expert then assigns each room an occupancy classification and other characteristics that are found in various codes. These tasks are time consuming and can lead to inaccuracies early in the review process.
CodeComply is a mission-driven product that harnesses artificial intelligence for plan review and cut through the red tape of this process in minutes, not months. Typically, multiple plan reviewers need to manually review each floor plan to ensure that they meet building codes and standards. But CodeComply uses AI to extract all of the data and identify objects like stairways, corridors, and walls. Once the data is extracted, it is analyzed through algorithms to determine building fundamentals, like how many people are expected to be in each room and how far do they need to travel to an exit. These fundamentals are then cross-referenced to various codes and standards and presented in a simple pass or fail format, ensuring that every aspect of the design meets regulations automatically.
Plan reviews require experts to manually identify and measure elements of a building, including the length of walls, the width of doors, and the area of rooms. After these measurements are recorded, the expert then assigns each room an occupancy classification and other characteristics that are found in various codes. These tasks are time consuming and can lead to inaccuracies early in the review process.
CodeComply is a mission-driven product that harnesses artificial intelligence for plan review and cut through the red tape of this process in minutes, not months. Typically, multiple plan reviewers need to manually review each floor plan to ensure that they meet building codes and standards. But CodeComply uses AI to extract all of the data and identify objects like stairways, corridors, and walls. Once the data is extracted, it is analyzed through algorithms to determine building fundamentals, like how many people are expected to be in each room and how far do they need to travel to an exit. These fundamentals are then cross-referenced to various codes and standards and presented in a simple pass or fail format, ensuring that every aspect of the design meets regulations automatically.
See CodeComply.Ai in action through screenshots and short videos.
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InspectMind AI
InspectMind is an AI-powered platform that reviews construction drawings, specifications, and submittals for potential code violations, coordination conflicts, constructability issues, and missing information.
Designed for architects, engineers, contractors, owners, and municipalities, it provides evidence-backed findings that help teams complete plan checks and QA/QC more efficiently. By identifying costly issues earlier, InspectMind supports faster reviews, stronger documentation, reduced rework, and better-informed decisions throughout project planning and delivery across diverse project types.
Melt Code by MeltPlan is an AI-native building code research engine for architects and engineers that delivers project-specific compliance requirements in minutes — with transparent reasoning, code citations, and guided compliance paths so teams can confidently choose the right design approach.
Blueplan provides code compliance for the AEC industry using AI. Blueplan replaces expensive and inefficient processes with AI, saving time and money by creating comprehensive complaint reports in minutes.
