Round 1 Winners!
Proof of Usefulness Report

CompliVision Inc.

Analysis completed on 3/21/2026

-5.6
Proof of Usefulness Score
Lab Mode

The submission contains significant red flags, including unsubstantiated and highly improbable claims ('most people have used my product', 'everyone' as audience) while failing to provide basic verifiable metrics. Although applying computer vision to patient safety holds theoretical real-world utility, the severe lack of evidence, nonsensical revenue metrics, and overall poor response quality result in a negative final score.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+0.0
Technical Innovation+1.5
Evidence Of Traction-12.5
Market Timing Relevance+1.0
Functional Completeness+0.0
Subtotal-5
Usefulness Multiplierx1.12
Final Score-6

Project Details

Project URL
Description
Early stage startup company developing patient safety improvement technology using computer vision and machine learning.

Algorithm Insights

Market Position
Early stage requiring focused development
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