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What is Iris Radgroup?

Iris is an AI-powered infratech solution designed to automate road patrolling, asset data collection, and maintenance workflows for public and private sector organizations. Built by Iris R&D Group, it addresses the challenge of efficiently monitoring and maintaining road infrastructure while complying with regulatory standards. The core capabilities include automated detection of road defects such as potholes and cracks, inventory management of roadway assets like traffic signs and street lights, and pavement condition assessment using the Pavement Condition Index (PCI). The tool leverages computer vision and AI to process images from specialized cameras mounted on patrol vehicles, buses, or waste trucks. Users can access data through the irisCITY dashboard, which integrates with existing work order management systems and ERPs. Iris is ideal for municipal public works departments, transportation agencies, and engineering firms seeking to reduce operational costs, improve service levels, and extend the life of road infrastructure. It also prioritizes privacy through automated image redaction, ensuring compliance with data protection regulations.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and actionable

Interface

Clean and intuitive dashboard

AI Technology
Computer VisionLLM
Purpose of Tool

To automate road maintenance and asset management using AI-driven visual inspection.

Compatibility

Integrates with CityWorks, Cartegraph, and other work order management systems; works with irisGO camera hardware.

Pricing

Custom pricing based on organization size and needs

Features

Features with the highest value for users are highlighted here.

Automated road defect detection

Roadway asset inventory and cataloging

Pavement Condition Index evaluation

AI-enabled dash camera (irisGO)

Data visualization dashboard (irisCITY)

Integration with work order systems

Automated image redaction for privacy

Customizable reporting and analytics

How It Works

1

Install irisGO Camera

Mount the AI-enabled dash camera on patrol vehicles, buses, or waste trucks to capture road imagery during regular routes.

2

Automated Data Collection

The camera records video and images, which are processed by AI to detect defects, assets, and pavement conditions in real time.

3

Review in irisCITY Dashboard

Access the processed data through an intuitive dashboard that visualizes asset locations, defect severity, and PCI scores.

4

Integrate and Act

Export findings to work order management systems like CityWorks to automatically generate repair tasks and track progress.

Who Is It For?

Municipal Public Works Departments

Transportation Agencies

Engineering Firms

City Planners

Road Maintenance Contractors

Government Compliance Officers

Fleet Managers

Data Analysts in Public Sector

Small to Medium-sized Cities

Large Metropolitan Areas

Pricing

Starter

Custom/monthly
  • Basic road defect detection
  • Up to 100 miles patrolled per month
  • Standard dashboard access
Popular

Professional

Custom/monthly
  • Full asset inventory (up to 300 types)
  • Pavement condition surveys
  • Integration with work order systems
  • Priority support

Enterprise

Custom/monthly
  • Unlimited miles patrolled
  • Custom AI model training
  • Dedicated account manager
  • Advanced analytics and reporting

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Pros & Cons

Pros

  • Comprehensive end-to-end solution from data collection to visualization.
  • Proven track record with municipalities, reducing inspection time and improving compliance.

Cons

  • Requires specialized camera hardware for full functionality.
  • May have a learning curve for integrating with existing municipal systems.

FAQs

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Rating

5.0

Pros

Cons

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Analytics of iris roads

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

815

-20.7% vs prior month

Avg. visit duration

00:00:39

M 4 2026 snapshot

Pages / visit

1.72

M 4 2026 snapshot

Bounce rate

33.58%

Lower is better

All traffic · Worldwide

162695227751.03KFeb 26Mar 26Apr 26

Peak: 1.03K (Mar 2026)Low: 16 (Feb 2026)Period growth: +4993.8%Source: SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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