Proof of Usefulness Report

Cordel Pty

Analysis completed on 1/18/2026

+726
Proof of Usefulness Score
Category Standard

Cordel Group PLC is a verifiable publicly traded company (AIM: CRDL) specializing in AI and LiDAR for rail inspection. Despite a low-effort submission containing inaccurate tags ('consumer-goods') and vague claims ('everyone'), external validation confirms significant traction with major clients like Network Rail, Amtrak, and ARTC. The company generates ~$6M in annual revenue with a market cap of ~$18M, demonstrating high real-world utility and technical innovation in critical infrastructure safety.

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Score Breakdown

Real World Utility+90
Audience Reach Impact+75
Technical Innovation+85
Evidence Of Traction+85
Market Timing Relevance+80
Functional Completeness+5
Subtotal+797
Usefulness Multiplierx0.91
Final Score+726

Project Details

Project URL
cordel.ai
Description
Our product uses LiDAR and Camera hardware mounted onto trains to collect and analyse engineering data automatically. Our solution is significantly lower cost and much more accurate than other methods of data collection. Using our technology stack we are creating the ability to rapidly reduce the cost and improve the performance of the railways of the world.
Audience Reach
everyone
Target Users
everyone
Technologies
Consumer Goods, Construction, Hardware
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline