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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.

$2M raised 📈 Growth Stage
Founded 2022 15-20 pilot organizations, 4x year-over-year growth

Why This Tool Exists

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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.

How You Use It

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Delivery Method

SaaS
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Integrations

API available (contact vendor)
Disciplines
Architecture, Construction, Civil Engineering
Project Phases
Construction Documentation, Bidding/Procurement
Project Types
Commercial, Residential, Healthcare, Education, Institutional

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Building plans (PDF), Project requirements
Optional: Local jurisdiction codes, Custom compliance checklists
Formats: PDF
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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
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Algorithm

How it works

Model: Proprietary AI combining computer vision, OCR, and machine learning
Accuracy: 98% compliance check accuracy (improves with corrections over time)
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Privacy

How your data is protected

Retention: Not publicly specified
Training: Machine learns from user corrections (details not specified)
Compliance: SOC 2 audit completed
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

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

Free
Demo available
Pro
$3,000 per seat annually
Enterprise
Multi-license packages available
Website →
📚 Research Sources & Data Quality Last verified: 2026-02-01
Verified Data (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
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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