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CodeComply.Ai

AI-powered building code compliance automation

Automated code compliance checking that scans building plans and identifies violations against IBC, IPC, IMC, NFPA 101, ADA, and local codes with 98% accuracy.

Pricing
$3,000 per seat annually
Alternatives
One Click LCA, Ichi, AutoSitu
Who it's for
Architecture, Construction, Civil Engineering
$2M raisedGrowth Stage
Founded 2022 · 15-20 pilot organizations, 4x year-over-year growth
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Construction plan review and code compliance checking is a manual, time-consuming process where reviewers spend hours examining each plan set for building code violations. Traditional markup tools limit collaboration, version tracking is cumbersome, and issues are often discovered late in the approval process, causing costly delays and requiring multiple review cycles.

The Solution

AI-powered platform that automatically scans building plans and identifies code compliance issues within minutes, achieving 98% accuracy. Uses computer vision, OCR, and machine learning to extract data from PDFs, identify building elements like stairs and corridors, and check against IBC, IPC, IMC, NFPA 101, ADA, and local codes. Includes collaboration tools for reviewers and version comparison capabilities.

USAGE

How You Use It

Delivery Method
SaaS
Integrations
API available (contact vendor)
Disciplines
Architecture, Construction, Civil Engineering
Workflows
Data & Automation, Code & Compliance
Project Phases
Construction Documentation, Bidding/Procurement
Project Types
Commercial, Residential, Healthcare, Education, Institutional
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Building plans (PDF), Project requirements
Optional:Local jurisdiction codes, Custom compliance checklists
Formats:PDF
Output
What you get
Format:Interactive compliance report with markup
Fields:Non-compliant items list, Code violations with references, Issue location annotations, Compliance verification status, Date and time stamps, Relevant code standards
Algorithm
How it works
Model:Proprietary AI combining computer vision, OCR, and machine learning
Accuracy:98% compliance check accuracy (improves with corrections over time)
Privacy
How your data is protected
Retention:Not publicly specified
Training:Machine learns from user corrections (details not specified)
Compliance:SOC 2 audit completed
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Automated building code compliance checking
  • ·Collaborative plan review workflows
  • ·Version comparison and change tracking
  • ·Issue flagging and assignment to reviewers
  • ·Compliance verification before submission
PRICING

Pricing

Free
Demo available
Pro
$3,000 per seat annually
Enterprise
Multi-license packages available
Sources & Research NotesResearch date: 2026-02-01
Data Sources (5)
Fields Checked (9)
problem, solution, deliveryMethod, customerBase, fundingTotal, yearFounded, accuracy, pricing, compliance
Not Found (5)
detailed-api-documentation, privacy-policy-details, data-retention-periods, specific-integration-list, rate-limits
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
ALTERNATIVES

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