Proof of Usefulness Report

Aretas Industrial IoT

Analysis completed on 2/20/2026

+48
Proof of Usefulness Score
You're In Business

Aretas Industrial IoT is a legitimate business (Aretas Sensor Networks Inc.) offering verifiable industrial air quality and monitoring solutions. However, the submission itself is of extremely poor quality, containing hyperbolic and demonstrably false claims (e.g., 'audienceReach: everyone', 'most people have used my product'). While external search confirms the existence of the company, partnerships (e.g., with IIOT-OXYS), and six-figure purchase orders, the discrepancy between the solid B2B reality and the unserious submission heavily penalizes the score. The project falls into the 'small but promising' or 'minimal traction' tier relative to the calibration anchor due to niche B2B scale and submission quality.

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Score Breakdown

Real World Utility+17.0
Audience Reach Impact+2.0
Technical Innovation+7.2
Evidence Of Traction+5.625
Market Timing Relevance+7.5
Functional Completeness+0.25
Subtotal+39.575
Usefulness Multiplierx1.20
Final Score+47

Project Details

Description
Industrial Air Quality Monitoring Systems and premier IoT Industry 4.0 solutions. Continuous cloud-enabled environmental monitoring, reporting and alerting for industrial environments. We build custom sensor solutions so that you have all the data you need, when you need it. Avoid problems and save money. Analyze. Alert. Act. Today (778) 716-3118

Algorithm Insights

Market Position
Growing utility with room for optimization
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