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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.
By combining code consulting expertise and the deep machine learning discipline of Togal.AI, CodeComply.Ai aims to transform the permit review process, catering to the needs of both plan submitters and reviewers.
We have trained our proprietary ML models on millions of examples of significant elements on construction drawings, including, areas, lines and objects. We focus on a two-pronged approach: helping architects, contractors, developers, and permit expeditors to submit plans that are fully compliant, and equipping building departments with the tools to review these plans more swiftly and effectively.
Reduce Drawing & Classifying
CodeComply.Ai does the work for you by analyzing and converting key architectural features into dimensioned and dynamic elements.
Quick & Easy
The machine learning algorithm of CodeComply.Ai compares the plan to selected code requirements to determine a level of compliance.
The original design and subsequent revisions can be quickly evaluated for design team approval and submission to the authority having jurisdiction.
CodeComply.Ai is built for
Check compliance in the earliest stages of design.
Accelerate plan review & turnaround time.
Contractors and Subcontractors
Identify issues before construction begins.
Experiment with layouts before the design team is assembled and speed up the code review process.
CodeComply.Ai currently supports various editions of the International Building Code® and NFPA 101: Life Safety Code®. Future offerings will support multiple disciplines, including the International Mechanical Code® and the Fair Housing Accessibility Guidelines .
The total number of people that are expected to occupy an area.
The total number of people that the exits can accommodate.
The minimum distance required between two exits to ensure that at least one exit is always available.
The maximum allowable distance that a person can travel from their location in a building to the nearest exit.
The maximum allowable distance that a person can travel before access to two distinct paths leading to separate exits are available.
An arrangement where the corridor continues past an exit and creates a pocket requiring the occupant to retrace their steps to return to the exit.
And more compliance tests coming soon!
GPT-4 integration - unlocking new levels of efficiency!
Fire alarm device layout
Fire sprinkler design layout
Fire service access elevator requirements
Let us know what types of analysis you
would like CodeComply.Ai to do!
Patrick E. Murphy
Chief Knowledge Officer
Head of Operations and
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