Proof of Usefulness Report

Zensors

Analysis completed on 2/2/2026

+415
Proof of Usefulness Score
Certified Problem Solver

Zensors is a verified Carnegie Mellon spinoff (2018) offering 'Physical AI' for spatial analytics. Despite a low-quality submission (claiming 'everyone' as audience and 'null' revenue), external research confirms significant B2B traction with clients like Harry Reid International Airport and estimated annual revenue of ~$2.3M. The project demonstrates high real-world utility in converting existing camera infrastructure into smart sensors, though the audience reach is strictly enterprise/niche rather than the claimed mass market.

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Score Breakdown

Real World Utility2.5)
Audience Reach Impact2.0)
Technical Innovation1.5)
Evidence Of Traction2.5)
Market Timing Relevance1.0)
Functional Completeness0.5)
Subtotal+493.75
Usefulness Multiplierx0.84
Final Score+415

Project Details

Project URL
Description
Create smart offices, shops and restaurants using our sensing platform \u0026 existing cameras for data driven answers to critical business questions.

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