top of page


Efficient Compliance and Swift Reviews for Faster Permitting.

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.
Group 164460.png

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.

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.

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.
Anchor 1

CodeComply.Ai is built for



Check compliance in the earliest stages of design.
plan reviewer.png

Plan Reviewers

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. 

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!


Our Team


Michael Sheehan


Patrick E. Murphy

patrick hughs.png

Patrick Hughes

President; Co-Founder

Matthew Foley


Robert Solomon

Chief Knowledge Officer

Dawn Keller

Product Development

Karlie Fike

Head of Operations and
Investor Relations
bottom of page