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The Challenge
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.
Our Mission
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.
about
Why CodeComply.Ai
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
Compliance Checks
The machine learning algorithm of CodeComply.Ai compares the plan to selected code requirements to determine a level of compliance.
Improved
Feedback Cycle
The original design and subsequent revisions can be quickly evaluated for design team approval and submission to the authority having jurisdiction.
How does it work?
Automated drawing analysis
Uses image detection, drawing layers, and OCR to create a custom data structure for the floor plan. CodeComply.Ai interprets plans of various file types. Standard drawing formats include PDF and more.
Identify code deficiencies &
verify compliant designs
Automatically generates a list of non-compliant items and allows users to verify compliance throughout the building.
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CodeComply.Ai is built for
Architects
Check compliance in the earliest stages of design.
Plan Reviewers
Accelerate plan review & turnaround time.
Contractors and Subcontractors
Identify issues before construction begins.
Developers
Experiment with layouts before the design team is assembled and speed up the code review process.
Compliance Solutions
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 .
Occupant Load
Egress Capacity
Exit Separation
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.
Travel Distance
The maximum allowable distance that a person can travel from their location in a building to the nearest exit.
Common Path
The maximum allowable distance that a person can travel before access to two distinct paths leading to separate exits are available.
Dead End
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!
Construction type
Accessibility reviews
Fire alarm device layout
Fire-resistance-rated walls
Fire sprinkler design layout
Fire service access elevator requirements
Let us know what types of analysis you
would like CodeComply.Ai to do!
solution
Our Team
Michael Sheehan
Co-Founder
Patrick E. Murphy
Co-Founder
Patrick Hughes
President; Co-Founder
Matthew Foley
Co-Founder
Robert Solomon
Chief Knowledge Officer
Dawn Keller
Product Development
Consultant
Karlie Fike
Head of Operations and
Investor Relations
team
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